The production effect in long-list recall: In no particular order?
Bibliographic record
Abstract
The production effect reflects a memory advantage for words read aloud versus silently. We investigated how production influences free recall of a single long list of words. In each of 4 experiments, a production effect occurred in a mixed-list group but not across pure-list groups. When compared to the pure-list groups, the mixed-list effects typically reflected a cost to silent words rather than a benefit to aloud words. This cost persisted when participants had to perform a generation or imagery task for the silent items, ruling out a lazy reading explanation. This recall pattern challenges both distinctiveness and strength accounts, but is consistent with an item-order account. By this account, the aloud words in a mixed list disrupt the encoding of item-order information for the silent words, thus impairing silent word recall. However, item-order measures and a forced-choice order test did not provide much evidence that recall was guided by retrieval of item-order information. We discuss our pattern of results in light of another recent study of the effects of production on long-list recall. (PsycINFO Database Record
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".