Plain wording
stale · v2 provisional awaiting approvalWhat does each claim say, in one sentence a non-specialist can read?
for Self-association enhances early attentional selection through automatic prioritization of socially salient signals · this layer across all papers · json
Provisional
This layer needs a corpus-scope decision that has not been ruled on yet, so what it produces would change if the decision changed. It waits on claim-format, relation-vocab.
Awaiting approval
Waiting for approval. That is a statement about the record, not about whether anyone has read this: people read the corpus without stamping what they read, and only a stamp leaves a trace. Approval is an operation on a version, not a step of its own — it is recorded against the version it was granted to, so running this layer again does not carry it forward.
Out of date
These inputs changed after this ran:
- claims/scheller-2026-self-prioritization/decisional-dimension-tradeoff.md
- claims/scheller-2026-self-prioritization/self-prioritization-perceptual-decision-automatic.md
- claims/scheller-2026-self-prioritization/self-salience-reduces-perceptual-benefit.md
- claims/scheller-2026-self-prioritization/self-social-additive-perceptual.md
What it produced23 claims
Read from site/src/data/plain-claims/scheller-2026-self-prioritization.json · 6 KB. model supplied:runs/scheller-2026-self-prioritization/plain-claim.answer.jsonprompt extract/prompts/plain-claim.md
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People who prioritise their own shape most strongly in the perceptual task prioritise it least when judging whose shape it is.
slug decisional-dimension-tradeoffrole empiricalpanel fig9
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Linking a shape to the self raises total processing capacity rather than just shifting attentional weight between the shapes.
slug hypothesis-capacity-mechanism-not-weightsrole hypothesispanel hypothesis
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Arbitrarily pairing a shape with the self speeds how fast that shape is selected into awareness, with no social judgement needed.
slug hypothesis-self-association-alters-attentional-selectionrole hypothesispanel hypothesis
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Social salience and perceptual salience capture attention through independent mechanisms, so their effects simply add up.
slug hypothesis-social-perceptual-independent-mechanismsrole hypothesispanel hypothesis
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Bundesen's Theory of Visual Attention splits attention into a total processing capacity and relative weights on each stimulus.
slug interprets-bundesen-tva-frameworkrole literature-contextpanel introduction, methods (TVA model variants), results (fig4, f…
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In the second experiment's social decision task, the other-associated shape was processed faster than the self-associated one.
slug other-association-advantage-social-conditionrole empiricalpanel fig6
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Making a shape higher in local colour contrast speeds its processing and slows the competing shape.
slug perceptual-salience-6hz-advantagerole controlpanel fig6
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For an other-associated shape that is also high-contrast, the two speed-ups should simply add, with no interaction between them.
slug prediction-additive-effects-other-associatedrole predictionpanel prediction
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A TVA model that lets processing capacity change with condition should fit the data better than one holding capacity fixed.
slug prediction-capacity-model-outperforms-weights-onlyrole predictionpanel prediction
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Requiring an explicit judgement of whose shape it is should shrink or reverse the self-advantage seen in the perceptual task.
slug prediction-self-advantage-attenuated-social-decisionrole predictionpanel prediction
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When asked only which shape flickered first, people should process the self-associated shape faster than the other-associated one.
slug prediction-self-advantage-perceptual-decisionrole predictionpanel prediction
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In the perceptual task, processing capacity rises and the gain goes to the self-associated shape, not the other-associated one.
slug processing-capacity-rises-perceptual-selfrole empiricalpanel fig5
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All claims rest on two preregistered online experiments using temporal order judgements of arbitrarily self-paired shapes.
slug scope-toj-tva-paradigmrole scopepanel scope
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When the task is to report whose shape flickered first, the self-associated shape holds no processing advantage.
slug self-prioritization-absent-social-decisionrole empiricalpanel fig5
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Self-association speeds attentional selection automatically and early, before any decoding of social identity.
slug self-prioritization-automatic-earlyrole interpretationpanel fig5 (synthesis)
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Asked only which shape flickered first, people processed the self-associated shape faster than the other-associated one.
slug self-prioritization-perceptual-decision-automaticrole empiricalpanel fig5
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Social salience drives attention more for self-associated shapes, physical salience more for other-associated ones.
slug self-salience-dominates-other-associatedrole synthesispanel fig9 (Tables 1, 2)
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A self-associated shape gains less from being made perceptually salient than an other-associated or unassociated shape does.
slug self-salience-reduces-perceptual-benefitrole empiricalpanel fig6, fig7
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For other-associated shapes, the social and the perceptual speed-up add up with no interaction between them.
slug self-social-additive-perceptualrole empiricalpanel fig7
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Social and perceptual salience capture attention through separate processing streams rather than drawing on one shared resource.
slug social-perceptual-salience-independent-streamsrole interpretationpanel fig7 (synthesis)
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Self-prioritisation in the matching task tracks processing gains in the social decision task but not in the perceptual one.
slug spe-matching-correlates-social-decisionrole empiricalpanel fig9
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Participants in both experiments matched the self-associated shape faster, confirming they had learned the shape-person pairings.
slug spe-robust-matching-both-experimentsrole controlpanel fig8
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A TVA model whose processing capacity is free to change between conditions fits better than one holding capacity fixed.
slug tva-capacity-model-winsrole methodologicalpanel fig4
| # | slug | role | panel | plain |
|---|---|---|---|---|
| 1 | decisional-dimension-tradeoff | empirical | fig9 | People who prioritise their own shape most strongly in the perceptual task prioritise it least when judging whose shape it is. |
| 2 | hypothesis-capacity-mechanism-not-weights | hypothesis | hypothesis | Linking a shape to the self raises total processing capacity rather than just shifting attentional weight between the shapes. |
| 3 | hypothesis-self-association-alters-attentional-selection | hypothesis | hypothesis | Arbitrarily pairing a shape with the self speeds how fast that shape is selected into awareness, with no social judgement needed. |
| 4 | hypothesis-social-perceptual-independent-mechanisms | hypothesis | hypothesis | Social salience and perceptual salience capture attention through independent mechanisms, so their effects simply add up. |
| 5 | interprets-bundesen-tva-framework | literature-context | introduction, methods (TVA model variants), results (fig4, fig5–7), discussion | Bundesen's Theory of Visual Attention splits attention into a total processing capacity and relative weights on each stimulus. |
| 6 | other-association-advantage-social-condition | empirical | fig6 | In the second experiment's social decision task, the other-associated shape was processed faster than the self-associated one. |
| 7 | perceptual-salience-6hz-advantage | control | fig6 | Making a shape higher in local colour contrast speeds its processing and slows the competing shape. |
| 8 | prediction-additive-effects-other-associated | prediction | prediction | For an other-associated shape that is also high-contrast, the two speed-ups should simply add, with no interaction between them. |
| 9 | prediction-capacity-model-outperforms-weights-only | prediction | prediction | A TVA model that lets processing capacity change with condition should fit the data better than one holding capacity fixed. |
| 10 | prediction-self-advantage-attenuated-social-decision | prediction | prediction | Requiring an explicit judgement of whose shape it is should shrink or reverse the self-advantage seen in the perceptual task. |
| 11 | prediction-self-advantage-perceptual-decision | prediction | prediction | When asked only which shape flickered first, people should process the self-associated shape faster than the other-associated one. |
| 12 | processing-capacity-rises-perceptual-self | empirical | fig5 | In the perceptual task, processing capacity rises and the gain goes to the self-associated shape, not the other-associated one. |
| 13 | scope-toj-tva-paradigm | scope | scope | All claims rest on two preregistered online experiments using temporal order judgements of arbitrarily self-paired shapes. |
| 14 | self-prioritization-absent-social-decision | empirical | fig5 | When the task is to report whose shape flickered first, the self-associated shape holds no processing advantage. |
| 15 | self-prioritization-automatic-early | interpretation | fig5 (synthesis) | Self-association speeds attentional selection automatically and early, before any decoding of social identity. |
| 16 | self-prioritization-perceptual-decision-automatic | empirical | fig5 | Asked only which shape flickered first, people processed the self-associated shape faster than the other-associated one. |
| 17 | self-salience-dominates-other-associated | synthesis | fig9 (Tables 1, 2) | Social salience drives attention more for self-associated shapes, physical salience more for other-associated ones. |
| 18 | self-salience-reduces-perceptual-benefit | empirical | fig6, fig7 | A self-associated shape gains less from being made perceptually salient than an other-associated or unassociated shape does. |
| 19 | self-social-additive-perceptual | empirical | fig7 | For other-associated shapes, the social and the perceptual speed-up add up with no interaction between them. |
| 20 | social-perceptual-salience-independent-streams | interpretation | fig7 (synthesis) | Social and perceptual salience capture attention through separate processing streams rather than drawing on one shared resource. |
| 21 | spe-matching-correlates-social-decision | empirical | fig9 | Self-prioritisation in the matching task tracks processing gains in the social decision task but not in the perceptual one. |
| 22 | spe-robust-matching-both-experiments | control | fig8 | Participants in both experiments matched the self-associated shape faster, confirming they had learned the shape-person pairings. |
| 23 | tva-capacity-model-wins | methodological | fig4 | A TVA model whose processing capacity is free to change between conditions fits better than one holding capacity fixed. |
How it is defined
A model answers this layer, so the prompt is the layer. It is reproduced below from the committed file, and it is a declared input — editing it makes every run that used it stale.
The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.
The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.
Artifacts
Versions
From the run ledger. There is no changelog beside it to keep in step.
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v2 · 2026-09-12 · supplied:runs/scheller-2026-self-prioritization/plain-claim.answer.json
re-run after the runner changed; no cost recorded — these answers predate the field
python3 scripts/plain_claims.py scheller-2026-self-prioritization --answer runs/scheller-2026-self-prioritization/plain-claim.answer.json
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v1 · 2026-09-11 · supplied:runs/scheller-2026-self-prioritization/plain-claim.answer.json
first run: one plain sentence per claim, answered by Claude Opus 5 through --dump-prompt and fed back through --answer
python3 scripts/plain_claims.py scheller-2026-self-prioritization --answer runs/scheller-2026-self-prioritization/plain-claim.answer.json
This layer across the corpus
Across the corpus
10 stale·a paper links to its own cell, where this layer's output for it is rendered
| Paper | State | Version | Last run | Output | Cell |
|---|---|---|---|---|---|
| A three-dimensional immunofluorescence atlas of the …re-run after the runner changed; no cost recorded — these answers predate the field | stale | v2 | 2026-09-12 | artiushin-2026-spider-atlas.json | json |
| Distinct representational properties of cues and con…re-run after the runner changed; no cost recorded — these answers predate the field | stale | v2 | 2026-09-12 | bouyeure-2026-fear-rsa.json | json |
| Computational modelling identifies key determinants …re-run after the runner changed; no cost recorded — these answers predate the field | stale | v2 | 2026-09-12 | ejdrup-2026-dopamine.json | json |
| Contributions of insula and superior temporal sulcus…re-run after the runner changed | stale | v6 | 2026-09-12 | gadeke-2026-guilt-insula.json | json |
| Spatially targeted inhibitory rhythms differentially…re-run after the runner changed | stale | v3 | 2026-09-12 | headley-2026-inhibitory-rhythms.json | json |
| Feedback of peripheral saccade targets to early fove…re-run after the runner changed; one wording added for the promoted claim | stale | v2 | 2026-09-12 | kammer-2026-foveal-feedback.json | json |
| iGABASnFR2 is an improved genetically encoded protei…re-run after the runner changed; no cost recorded — these answers predate the field | stale | v3 | 2026-09-12 | kolb-2026-igabasnfr2.json | json |
| A deep learning pipeline for mapping in situ network…re-run after the runner changed; no cost recorded — these answers predate the field | stale | v2 | 2026-09-12 | rozak-2026-neurovascular-dl.json | json |
| Self-association enhances early attentional selectio…re-run after the runner changed; no cost recorded — these answers predate the field | stale | v2 | 2026-09-12 | scheller-2026-self-prioritization.json | json |
| Impaired excitability of fast-spiking neurons in a n…re-run after the runner changed; no cost recorded — these answers predate the field | stale | v2 | 2026-09-12 | wengert-2026-kcnc1.json | json |
Inputs and outputs
- Reads, besides its dependencies
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- scripts/plain_claims.py · declared, and not in the repository — it hashes to nothing, so it cannot make a run stale
- extract/prompts/plain-claim.md · declared, and not in the repository — it hashes to nothing, so it cannot make a run stale
- Produces
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- site/src/data/plain-claims/{paper}.json
One per paper — the table above links each one that exists.
- Views
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- list — rendered above, over the 17 claims in the artifact
- table — rendered above, over the 17 claims in the artifact
Running it
The command comes from the declaration, so this text and what actually runs cannot
diverge. pipeline.py run also runs the unmet dependencies first.
python3 scripts/pipeline.py run <paper> plain-claim
Underneath, that runs python3 scripts/plain_claims.py {paper} --answer runs/{paper}/plain-claim.answer.json.