Production improves memory equivalently following elaborative vs non-elaborative processing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Words that are read aloud are better remembered than those read silently. Recent research has suggested that, rather than reflecting a benefit for produced items, this production effect may reflect a cost to reading silently in a list containing both aloud and silent items (Bodner, Taikh, & Fawcett, 2013). This cost is argued to occur because silent items are lazily read, receiving less attention than aloud items which require an overt response. We examined the possible role of lazy reading in the production effect by testing whether the effect would be reduced under elaborative encoding, which precludes lazy reading of silent items. Contrary to a lazy reading account, we found that production benefited generated words as much as read words (Experiment 1) and deeply imagined words as much as shallowly imagined words (Experiment 2). We conclude that production stands out as equally distinct-and consequently as equally memorable-regardless of whether it accompanies deep or shallow processing, evidence that is inconsistent with a lazy reading account.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it