Bibliographic record
Abstract
This paper tests short-term memory (STM) span for various types of auditory input which seem to be related to LC. The result is that memory for sentences in isolation or chosen from running discourse is the best predictor of listening success. Key words: listening comprehension; STM for sentences in context; STM for isolated sentences; STM for random words; STM for random digits Resume: Cet article verifie la duree de la memoire a court terme (MCT) pour de divers types d'entrees auditives qui semble etre liee a competence linguistique. Le resultat montre que la memoire des phrases isolees ou choisies dans un discours en cours est le meilleur predicteur du succes auditif. Mots-cles : comprehension auditive; memoire a court terme pour des pharases dans un contexte; memoire a court terme pour des phrases isolees; memoire a court terme pour des mots aleatoires; memoire a court terme pour des chiffres aleatoires
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".