Bibliographic record
Abstract
Translation accounts have argued that the presence of a Stroop effect in the context of a nonvocal untranslated response is caused by verbal mediation. In its simplest form, color-labeled buttons are translated into a verbal code that interferes with color responses. On this logic, in the reverse Stroop task (identify the word; ignore the color), responses made via word-labeled buttons should also be verbally mediated. Thus, no reverse Stroop effect (RSE) should be seen. The authors tested this verbal mediation hypothesis in 4 reverse Stroop task experiments. An RSE was observed across 4 experiments. The results of Experiments 3 and 4 suggest that this RSE is driven by response competition. It is argued that the data from these 4 experiments are inconsistent with unadorned translation accounts of the RSE but consistent with an account in which the strength of association between a stimulus and a specific response plays a major role.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".