Net score
+11
Sum of -3..+3 criteria.
A local-first analyst workspace that turns documents, notes, links, news, claims, contradictions, options, decisions, and follow-up actions into an auditable decision surface.
Net score
+11
Sum of -3..+3 criteria.
Strongest control
[C2] Matched reusable-template control
Realistic workflow/product application
Treatment
[T] WeaveMark treatment
Headline structural-mingling evidence.
Semantic trace
source -> claim -> evidence/contradiction -> ACH -> decision gate -> action/output
Propagation path inspected.
Columns are grouped into authoring size, final output size, and semantic-information proxies.
| Variant | Role | Source | Variables | Output | Leverage | Fact units | Density | Yield |
|---|---|---|---|---|---|---|---|---|
| [C1] Manual brief [C1] Manual brief | Compact hand-written evidence-to-decision workspace request. | 55 | 0 | 55 | 1x | 5 | 90.9 | 90.9 |
| [C2] Matched reusable-template control [C2] Matched reusable-template control | Template shell with evidence, decision, local-first, workspace, and validation partials. | 67 | 111 | 1,092 | 16.3x | 96.5 | 88.4 | 1,440.3 |
| [T] WeaveMark treatment [T] WeaveMark treatment | Refines source fidelity, ACH, contradiction handling, decision gates, local-first architecture, and AI safety. | 249 | 66 | 6,632 | 26.63x | 396.5 | 59.8 | 1,592.4 |
Words in the local study source for a variant; this is the local authoring burden.
Words in a variant's explicit input payload, when a template or refinement uses one.
Words in the saved compiled final artifact.
Output words divided by local source words; larger means more final artifact per local word, not quality by itself.
Novelty-weighted semantic fact units extracted from the output by deterministic rules.
Discounted fact units per 1,000 output words; higher means a more information-dense output.
Discounted fact units per 1,000 local source words; higher means more semantic material per local authoring word.
| Metric | [C2] Matched reusable-template control | [T] WeaveMark treatment | Direction |
|---|---|---|---|
| Source-only leverage | 16.3 | 26.63 | win |
| Discounted fact units | 96.5 | 396.5 | win |
| Information density | 88.4 | 59.8 | loss |
| Information yield | 1,440.3 | 1,592.4 | win |
Scores compare [T] WeaveMark treatment against [C2] Matched reusable-template control on the -3..+3 scale.
Primary scores are blind* using hybrid-derived-metrics-and-masked-review: anonymous absolute 1..7 scores were frozen before reveal, then converted to the -3..+3 treatment-control scale. Hybrid blind* scoring uses derived metrics for mechanical criteria and masked source/output review for criteria that require actual reading. The masked review is less blind because domain content, source syntax, or style can leak, but this is necessary to avoid replacing readability and integration judgments with weak length/density proxies.
| Criterion | Blind* score | Evidence |
|---|---|---|
| Authoring leverage | +2 | derived-evidence method. Blind* absolute scores: 7 for [T] versus 4 for the strongest control. |
| Information yield | +2 | derived-evidence method. Blind* absolute scores: 7 for [T] versus 4 for the strongest control. |
| Grounded expressiveness | +2 | masked-source-output review method. Blind* absolute scores: 7 for [T] versus 4 for the strongest control. |
| Input readability | +1 | masked-source review method. Blind* absolute scores: 5 for [T] versus 4 for the strongest control. |
| Output readability | +1 | masked-output review method. Blind* absolute scores: 6 for [T] versus 5 for the strongest control. |
| Constraint integration | +2 | masked-source-output review method. Blind* absolute scores: 7 for [T] versus 4 for the strongest control. |
| Reusable abstraction quality | +1 | masked-source review method. Blind* absolute scores: 6 for [T] versus 5 for the strongest control. |
| Total | +11 | Net contrastive gain/loss. |
A -3..+3 judgment comparing [T] against the strongest listed control for each criterion.
The sum of the seven contrastive criterion scores for one study.
Green means [T] is better, red means worse, amber means similar; intensity follows magnitude.
The strongest realistic application result on total semantic content and yield, though not on compactness.