Window-scoped conversation, SNA, and ENA
Raw Conversation Stream
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
SNA Split View
ENA Split View
Evidence-Explanation Drivers
SNA Metrics
| Actor | Strength | Degree | Betweenness | Closeness | Reach | Community | Component |
|---|---|---|---|---|---|---|---|
Ms Lee Lead teacher - Lesson Study Team | 11 | 2 | 0 | 1 | 2 | 1 | 1 |
Mr Chan Curriculum designer - Lesson Study Team | 10 | 2 | 0 | 1 | 2 | 1 | 1 |
Dr Wong Research mentor - Lesson Study Team | 7 | 2 | 0 | 1 | 2 | 1 | 1 |
Ms Ho Peer observer - Lesson Study Team | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
Community Detection
Pair Contribution G
| Code-pair | Total G | Top contributors | Evidence |
|---|---|---|---|
| Evidence + Explanation | 1.9 | Dr Wong 1 (D 1 / S 0), Ms Lee 0.5 (D 0 / S 0.5), Mr Chan 0.5 (D 0 / S 0.5) | 3 |
| Explanation + Critique | 1.5 | Dr Wong 1 (D 1 / S 0), Ms Lee 0.5 (D 0 / S 0.5) | 2 |
| Question + Explanation | 1.5 | Ms Lee 1 (D 1 / S 0), Dr Wong 0.5 (D 0 / S 0.5) | 2 |
| Evidence + Critique | 1.4 | Dr Wong 1 (D 1 / S 0), Mr Chan 0.5 (D 0 / S 0.5) | 2 |
| Hypothesis + Explanation | 1.4 | Ms Lee 0.5 (D 0 / S 0.5), Dr Wong 0.5 (D 0 / S 0.5), Mr Chan 0.5 (D 0 / S 0.5) | 3 |
| Question + Evidence | 1.4 | Ms Lee 0.5 (D 0 / S 0.5), Dr Wong 0.5 (D 0 / S 0.5), Mr Chan 0.5 (D 0 / S 0.5) | 3 |
| Hypothesis + Evidence | 1.4 | Mr Chan 0.9 (D 0.9 / S 0), Dr Wong 0.5 (D 0 / S 0.5) | 2 |
| Question + Critique | 1 | Ms Lee 0.5 (D 0 / S 0.5), Dr Wong 0.5 (D 0 / S 0.5) | 2 |
| Hypothesis + Critique | 0.9 | Dr Wong 0.5 (D 0 / S 0.5), Mr Chan 0.5 (D 0 / S 0.5) | 2 |
| Question + Hypothesis | 0.9 | Ms Lee 0.5 (D 0 / S 0.5), Mr Chan 0.5 (D 0 / S 0.5) | 2 |
Evidence Ledger
That is promising but the prompt needs a place for evidence and a place for explanation
That is promising but the prompt needs a place for evidence and a place for explanation
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
The worksheet can ask learners to compare two examples before they write a hypothesis
Ms Lee asks Mr Chan to connect the learning goal to prior evidence;李老師請陳老師把學習目標連到證據
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
That is promising but the prompt needs a place for evidence and a place for explanation
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
Dr Wong replies with a critique of the opening prompt
Mr Chan invites Dr Wong to check whether the task supports explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
That is promising but the prompt needs a place for evidence and a place for explanation
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
That is promising but the prompt needs a place for evidence and a place for explanation
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
We need a question that makes students explain the pattern instead of only naming it
The worksheet can ask learners to compare two examples before they write a hypothesis
That is promising but the prompt needs a place for evidence and a place for explanation
Method Validation
| Metric | Scope | Source | Parity | Limit |
|---|---|---|---|---|
| Density | social-graph | sna.js | Covered by R sna parity fixtures. | Density is a social-layer quantity only; it does not measure epistemic quality. |
| Tie count | social-graph | sna.js | Covered by R sna parity fixtures. | Undirected mode counts collapsed person-person ties after SENA symmetrization. |
| Degree | social-actor | sna.js | Covered by R sna parity fixtures. | Degree counts social neighbors, not code contribution. |
| Weighted social strength | social-actor | sna.js | Covered by R sna parity fixtures. | Strength is sensitive to the interaction-weight convention used to build S. |
| Weak components and connectivity | social-graph | sna.js | Covered by R sna parity fixtures. | Components are computed on the social layer, not on the full typed fusion graph. |
| Average path, closeness, and reachable actors | social-actor | sna.js | Covered by R sna geodist-derived parity fixtures. | Disconnected nodes use reachable-only closeness; compare only under the same convention. |
| Betweenness | social-actor | sna.js | Covered by R sna::betweenness fixtures for selected graph families. | Current betweenness ignores edge weights as distances; weighted brokerage needs a declared distance transform. |
| Reciprocity | social-graph | sna.js | Covered by R sna::grecip(edgewise) fixtures. | Reciprocity uses directed raw interactions even when the displayed S block is undirected. |
| Community detection | community | sna.js | Checked against an igraph label-propagation fixture and repeat-stability checks. | Community labels are exploratory partitions, not inferential group claims. |
| jENA connection counts and ENA-space positions | concept | jena-js | Covered by bundled rENA fixture parity for line weights, connection counts, variance, unit points, and node positions; runtime consistency also checks jENA concept-pair signal handoff to the SENA W matrix. | jENA positions and line weights describe coded discourse structure under the manifest settings; they are not causal or reliability evidence. |
| Bridge score | bridge | sena-composite | SENA-specific composite; no R sna parity target. | Bridge score is a ranking helper and must be reported with its formula. |
| Person-code-pair contribution G | bridge | sena-self-implemented | SENA-specific attribution layer; validated through evidence-link and matrix tests. | G indicates association with code-pair windows unless person-specific code-pair evidence is available. |
| Fusion matrix | fusion | sena-self-implemented | Covered by S/W/B/G/fusion matrix tests and sensitivity checks. | Fusion adjacency is not a kernel, causal model, or inferential test by itself. |
| Variant | S | W | B | Delta | Strongest |
|---|---|---|---|---|---|
| Baseline | 1.44 | 6.40 | 5.85 | 0 | Dr Wong -> Critique |
| Alpha 0.5x | 0.72 | 6.40 | 5.85 | -0.72 | Dr Wong -> Critique |
| Alpha 1.5x | 2.16 | 6.40 | 5.85 | 0.72 | Ms Lee <-> Mr Chan |
| Beta 0.5x | 1.44 | 3.20 | 5.85 | -3.20 | Dr Wong -> Critique |
| Beta 1.5x | 1.44 | 9.60 | 5.85 | 3.20 | Evidence + Critique |
| Gamma 0.5x | 1.44 | 6.40 | 2.92 | -2.92 | Ms Lee <-> Mr Chan |
| Gamma 1.5x | 1.44 | 6.40 | 8.77 | 2.92 | Dr Wong -> Critique |
| Mode | Windows | Segments | Interactions | Peak B |
|---|---|---|---|---|
| stage | 1 | 1 | 1 | 1 |
| moving-window | 1 | 1 | 1 | 1 |
| turn-window | 3 | 1 | 1 | 1 |
Matrix Evidence
| Layer | Ms Lee | Mr Chan | Dr Wong | Ms Ho |
|---|---|---|---|---|
| Ms Lee | 0 | 7 | 4 | 0 |
| Mr Chan | 7 | 0 | 3 | 0 |
| Dr Wong | 4 | 3 | 0 | 0 |
| Ms Ho | 0 | 0 | 0 | 0 |
| Layer | Question | Hypothesis | Evidence | Explanation | Critique | Reflection |
|---|---|---|---|---|---|---|
| Question | 0 | 1 | 1 | 1 | 1 | 0 |
| Hypothesis | 1 | 0 | 1 | 1 | 1 | 0 |
| Evidence | 1 | 1 | 0 | 1 | 1 | 0 |
| Explanation | 1 | 1 | 1 | 0 | 1 | 0 |
| Critique | 1 | 1 | 1 | 1 | 0 | 0 |
| Reflection | 0 | 0 | 0 | 0 | 0 | 0 |
| Layer | Question | Hypothesis | Evidence | Explanation | Critique | Reflection |
|---|---|---|---|---|---|---|
| Ms Lee | 1 | 0 | 0 | 1 | 0 | 0 |
| Mr Chan | 0 | 0.9 | 0.9 | 0 | 0 | 0 |
| Dr Wong | 0 | 0 | 1 | 1 | 1 | 0 |
| Ms Ho | 0 | 0 | 0 | 0 | 0 | 0 |
| Layer | Question + Hypothesis | Question + Evidence | Question + Explanation | Question + Critique | Question + Reflection | Question + Coordination |
|---|---|---|---|---|---|---|
| Ms Lee | 0.5 | 0.5 | 1 | 0.5 | 0 | 0 |
| Mr Chan | 0.5 | 0.5 | 0 | 0 | 0 | 0 |
| Dr Wong | 0 | 0.5 | 0.5 | 0.5 | 0 | 0 |
| Ms Ho | 0 | 0 | 0 | 0 | 0 | 0 |
Temporal Runtime Trace
| Window | Dataset | jENA | jSNA | S/W/B/G | Strongest bridge / G pair |
|---|---|---|---|---|---|
Plan Turns 1-3 | 3 utterances 3 segments 3 interactions | computed Rows 3; dims SVD1, SVD2 SVD1 0.72; SVD2 0.28 | computed Ties 3; density 0.50 Communities 2; components 2 | S 28 / W 20 B 6.8 / G 13.6 active G pairs 10 A_fusion checksum 0x523dfc24 | Ms Lee -> Question scaled 0.86 Top G pair Evidence + Explanation total 1.9; lead Dr Wong |
Teach Turns 2-6 | 3 utterances 3 segments 4 interactions | computed Rows 3; dims SVD1, SVD2 SVD1 1; SVD2 0.00 | computed Ties 3; density 0.50 Communities 1; components 1 | S 24 / W 20 B 7.4 / G 14.8 active G pairs 10 A_fusion checksum 0xf9eb3426 | Ms Lee -> Explanation scaled 0.86 Top G pair Evidence + Explanation total 1.9; lead Ms Lee |
Reflect Turns 3-10 | 4 utterances 4 segments 6 interactions | computed Rows 4; dims SVD1, SVD2 SVD1 0.61; SVD2 0.39 | computed Ties 5; density 0.83 Communities 1; components 1 | S 46 / W 30 B 12.4 / G 31 active G pairs 15 A_fusion checksum 0x9d71b7ba | Mr Chan -> Evidence scaled 0.86 Top G pair Evidence + Reflection total 3.3; lead Mr Chan |
Report Generator
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fill="none" stroke="#895dff"data-visual-role="concept-space-guide"data-visual-role="ena-solid-concept-link"data-visual-role="fusion-readable-link-halo"data-edge-visual-width=data-edge-scaled-weight=data-edge-visual-salience=data-testid="fusion-layer-key-line-weight-note"data-testid="edge-visual-stroke-provenance"data-testid="sena-node-data-node-glyph="Q"data-visual-role="ena-concept-circle-node"data-visual-role="sna-person-hex-node"data-arc-route="outer-orbit"data-testid="fusion-layer-key"data-visual-role="fusion-layer-key-g"data-testid="metric-provenance-panel"data-visual-role="sena-metric-provenance"data-testid="edge-matrix-provenance"data-visual-role="edge-matrix-provenance"data-testid="edge-matrix-fingerprint"data-visual-role="edge-matrix-fingerprint"data-testid="evidence-lineage"data-visual-role="five-table-evidence-lineage"data-testid="temporal-fusion-arc"data-testid="temporal-window-fingerprint"data-visual-role="temporal-window-fingerprint"data-visual-role="temporal-g-pair-metric"data-visual-role="temporal-trace-g-pair-line"data-testid="temporal-transition-evidence"data-testid="temporal-transition-summary"data-visual-role="temporal-transition-summary"data-testid="data-governance-metadata"data-testid="claim-readiness-gate"data-visual-role="claim-readiness-gate"data-testid="export-publication-html"data-testid="export-publication-svg"data-testid="export-publication-png"data-testid="export-publication-xlsx"data-testid="export-publication-docx"data-testid="export-publication-pdf"data-testid="export-publication-package"data-testid="enterprise-claim-evidence-package"sena-enterprise-claim-evidence-package/v1data-testid="enterprise-expert-review-dossier-export"data-testid="enterprise-validation-parity-evidence"data-visual-role="enterprise-validation-parity-evidence"sena-validation-parity-evidence/v1data-testid="enterprise-validation-walkthrough-evidence"data-testid="enterprise-validation-parity-export"data-testid="export-local-validation-result"data-testid="export-validation-preregistration-plan"data-testid="run-validation-suite"data-testid="enterprise-validation-inference-reference"data-testid="enterprise-formal-inference-readiness"sena-formal-inference-readiness/v1data-testid="enterprise-platform-decision-review"sena-enterprise-platform-decision-acceptance/v1data-testid="enterprise-platform-decision-select"data-testid="enterprise-platform-decision-status"data-testid="enterprise-platform-decision-owner"data-testid="enterprise-platform-decision-evidence"data-testid="enterprise-platform-decision-production-evidence"data-testid="enterprise-platform-decision-submit"data-testid="enterprise-platform-decision-register-export"data-testid="enterprise-capability-audit-export"sena-enterprise-capability-audit/v1data-testid="enterprise-native-adapter-certification-export"sena-enterprise-native-adapter-certification/v1data-testid="enterprise-identity-production-evidence-export"sena-enterprise-identity-production-evidence/v1sena-enterprise-identity-platform-decision-request-packet/v1sena-enterprise-identity-submission-verifier/v1sena-enterprise-identity-rotation-freshness/v1data-testid="enterprise-saas-operations-readiness-export"sena-enterprise-saas-operations-readiness/v1data-testid="enterprise-go-live-rehearsal-export"sena-enterprise-go-live-rehearsal/v1sena-enterprise-go-live-rollback-drill/v1data-testid="enterprise-go-live-rollback-drill-export"sena-enterprise-go-live-monitor/v1data-testid="enterprise-go-live-monitor-export"data-testid="enterprise-go-live-rehearsal-apply-draft"sena-enterprise-release-gate-draft/v1sena-enterprise-go-live-attestation/v1data-testid="enterprise-go-live-attestation-submit"data-testid="enterprise-go-live-attestation-export"data-testid="enterprise-release-gate-review"sena-enterprise-release-gate-review/v1data-testid="enterprise-release-gate-identity-snapshot"data-testid="enterprise-release-gate-identity-snapshot-schema"data-testid="enterprise-release-gate-decision"data-testid="enterprise-release-gate-submit"data-testid="enterprise-release-gate-export"data-testid="enterprise-import-cleaning-manifest-export"data-testid="enterprise-governance-exports"data-testid="enterprise-governance-health-export"data-testid="enterprise-governance-security-export"data-testid="enterprise-governance-audit-csv-export"data-testid="enterprise-governance-backup-export"data-testid="enterprise-governance-audit-delivery"data-testid="enterprise-governance-backup-delivery"data-testid="enterprise-governance-database-sync"data-testid="enterprise-ops-exports"data-testid="enterprise-ops-status-export"data-testid="enterprise-ops-readiness-export"data-testid="enterprise-ops-deployment-export"data-testid="enterprise-ops-alerts-export"data-testid="enterprise-ops-alert-delivery"data-testid="enterprise-notification-center"data-testid="enterprise-notification-refresh"data-testid="enterprise-notification-deliver"data-testid="enterprise-notification-deliver-email"data-testid="enterprise-notification-mark-read"data-testid="enterprise-upload-storage"data-testid="enterprise-upload-storage-refresh"data-testid="enterprise-upload-storage-verify"data-testid="enterprise-upload-storage-deliver"data-testid="enterprise-upload-storage-file-input".srt,.vttdata-testid="enterprise-collaboration-pubsub-delivery"sena-enterprise-collaboration-pubsub-delivery/v1data-testid="coding-reliability-gate"data-visual-role="coding-reliability-gate"data-testid="export-reliability-dashboard"data-testid="review-packet-audit"data-visual-role="review-packet-audit"data-audit-id="method-protocol-handoff"data-audit-id="development-plan-handoff"data-audit-id="project-snapshot-handoff"Dual Lens Basis
SNA keeps actor ties analytically separate from ENA code co-occurrence before fusion. This avoids confusing social centrality with epistemic quality.
Fusion Claim
The bridge layer asks who contributed to which concepts, and the enhanced pair contribution estimates who helped activate important code-pair links.
Report Readiness
Every visible claim can be exported with weights, normalization, matrix values, and original utterance evidence for human-reviewed reporting.