A Portrait of the Audience for Instruction in Web Searching: Results of a Survey Conducted at Two Canadian Universities.
Bibliographic record
Abstract
Une enquete a ete effectuee aupres des participants aux programmes de formation offerts par les bibliotheques de deux universites canadiennes. Le but de l'enquete etait de decrire les caracteristiques des etudiants qui participent aux seances de formation sur la recherche sur le Web. Le portrait qui s'est degage presentait des etudiants etant capables d'evaluer les sites web quant a leur fiabilite mais pas necessairement quant a leur valeur academique. Peu d'etudiants ont semble se rendre compte de l'ampleur de l'information qui est disponible sur le Web mais qui ne peut etre repechee par un moteur de recherche. La variable independante la plus determinante etait la frequence d'utilisation. Par exemple, les etudiants qui ont l'habitude de chercher le Web quotidiennement etaient plus en mesure de pouvoir fournir des criteres evaluatifs sur les sites web.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.017 |
| 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".