The Effect of Misspellings on Information Retrieval in Online Public Access Catalogues
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
Spelling is an important literacy skill, crucial to successful searching in Online Public Access Catalogues (OPACs). Students at the University of Alberta, were given 4 search tasks. They were given a topic and asked to find as many items on that topic in the OPAC as possible. They were allowed ... L’orthographe est une compétence d’alphabétisation importante, de même qu’un facteur essentiel de succès de la recherche dans les catalogues interrogeables en ligne (CIELs). Les étudiants de l’Université de l’Alberta ont reçu 4 tâches de recherche. Pour chaque tâche, ces derniers devaient retrouver un maximum de notices traitant de ce sujet dans le CIEL. Les étudiants pouvaient…
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 | 0.002 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.008 | 0.046 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it