The list-length effect occurs in cued recall with the retroactive design but not the proactive design.
Bibliographic record
Abstract
An ongoing debate in the memory literature concerns whether the list-length effect (better memory for short lists compared with long lists) exists in item recognition (Annis, Lenes, Westfall, Criss, & Malmberg, 2015; Dennis, Lee, & Kinnell, 2008). This debate was initiated when Dennis and Humphreys (2001) showed that, when confounds present in earlier list-length experiments were controlled, the list-length effect disappeared. The issue has yet to be settled. Interestingly, the same confounds present in recognition experiments exist in cued-recall experiments. Here, we implemented Dennis and Humphreys' (2001) methodological controls to test for the list-length effect in cued recall. In Experiment 1, we found a robust list-length effect when start-of-study items from the long list were tested. However, no list-length effect was found in Experiments 2 and 3 when end-of-study items from the long list were tested. These results are consistent with the view that cued recall is susceptible to retroactive interference but not proactive interference, a position supported by early interference work (e.g., Lindauer, 1968; Melton & von Lackum, 1941). (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".