Word frequency effects in immediate serial recall: Item familiarity and item co‐occurrence have the same effect
Bibliographic record
Abstract
In immediate serial recall, high-frequency words are better recalled than low-frequency words. A prevalent interpretation of this effect suggests that, at the point of recall, degraded representations undergo a reconstruction process calling upon long-term knowledge of the to-be-remembered items. Recently, Stuart and Hulme (2000) following Deese (1960), suggested that high-frequency items are better recalled due to their better long-term associative links. Their results revealed that a familiarisation procedure involving repeated presentations of the to-be-remembered items in pairs abolished the usual frequency effect. In the experiment reported here, an alternative interpretation of this result is examined. Prior to the memory task, subjects received either no familiarisation, item familiarisation, or pair familiarisation. Both item and pair familiarisation improved the item recall of low-frequency items to the same extent, suggesting that increased familiarity can account for the co-occurrence effect.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.007 | 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".