Bibliographic record
Abstract
The present study was an investigation of the relation between cognitivecoupling, a correlation between text di!culty and reading time, and othermeasures of mind wandering during reading. To measure cognitive coupling,we manipulated the text di!culty of individual sentences. Because mindwandering may shift attention away from the text, we predicted cognitivecoupling, that is, that the e"ect of di!culty on processing time, should be lesswhen readers are o" task. We also manipulated the consistency of a targetsentence’s content with a prior information. Analogous to the text-basedcognitive coupling, we predicted an interaction of consistency with task focus:the impact of this consistency should be less noticeable when readers are o"task. The results demonstrated the predicted text-based cognitive-couplinge"ect: There was less of an e"ect of text di!culty when readers reported beingo" task. However, there was no such interaction between consistency and taskfocus. We conclude that the consistency e"ect may depend on the relativelyautomatic activation of prior information, rather than requiring consciouslyretrieving related information in the mindset.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".