Retrieval-induced forgetting: Testing the competition assumption of inhibition theory.
Bibliographic record
Abstract
Practicing the retrieval of some information can lead to poorer retrieval of other related information, a phenomenon called retrieval-induced forgetting (RIF). This pattern has been explained as the result of inhibition of the related information during practice (Anderson, 2003). A core assumption of this inhibition account is that, to be suppressed, the related information must compete with the target information at the time of retrieval practice. Three experiments are reported that test this competition assumption. One experiment showed that RIF did not occur without specific retrieval practice of the target items when semantic generation of subordinates was performed. However, in 2 further experiments, RIF did occur when the semantic generation task was paired with category retrieval. Although there was no need for competition between target information and related information in these experiments, RIF was observed. These experiments undermine the competition assumption and hence the inhibition account.
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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 | 0.002 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".