Thesaurus-enhanced Search Moves: An Evaluation of Search Term and Search Result Satisfaction
Bibliographic record
Abstract
This paper reports on a user-centred evaluation of search process characteristics within a thesaurus-enhanced search environment and the ways in which these characteristics affect users’ judgment of search terms and results. The study has addressed the questions relating to the types of search moves and the relationship between search moves and search terms and results.Cet article présente une évaluation orientée-utilisateur des caractéristiques du processus de recherche à l’intérieur d’un environnement de recherche enrichi d’un thésaurus et les manières dont ces caractéristiques ont un impact sur le jugement des utilisateurs sur les termes de recherche et les résultats. Cette étude examine les problèmes reliés aux types de procédures de recherche et la relation entre ces procédures, les termes de recherche et les résultats.
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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 | 0.005 | 0.006 |
| 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 | 0.004 | 0.029 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".