A Method for Comparing Large Scale Inter-indexer Consistency Using IR Modeling
Why this work is in the frame
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Bibliographic record
Abstract
The authors present a method for comparing indexing consistency between groups of indexers based on the vector space IR model. Terms assigned by indexers are treated as vectors whose distances from a central vector may be compared. The method is outlined and demonstrated with an example.Les auteurs présentent un modèle pour comparer la cohérence interindexeurs entre des groupes d’indexeurs basé sur le modèle de RI d’espace vectoriel. Les termes attribués par les indexeurs sont traités comme des vecteurs avec lesquels il est possible de comparer la distance par rapport à un vecteur central. La méthode est expliquée et illustrée avec un exemple.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.005 | 0.022 |
| Open science | 0.004 | 0.002 |
| 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