Enhancement of remembering by application of the principle of transfer-appropriate processing
Bibliographic record
Abstract
According to the principle of transfer-appropriate processing (Morris, Bransford, & Franks, 1977), a match in the cognitive processirig employed during an initial encounter with a stimulus and a subsequent attempt to remember that stimulus will facilitate successñrl remembering.Research suggests that a mismatch between featural and holistic processing reduces recognition accurac% and that there may be a bias to use holistic processing when making recognition judgrnents (Doan & Leboe, 2006).The main objective of this thesis was to examine whether participants would use the principle of transfer-appropriate processing as a strategy to promote successful remembering.Participants in two experiments were shown abshact shapes featurally or holistically during a study phase, and perform eÅ old/new recognition judgments during a subsequent recognition test.Results suggest that participants will use the principle oftransfer- appropriate processing as a strategy to enlance recognition under some conditions, but they do not do so easily.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".