Internationalization and Learner Autonomy: Connecting Across Borders and Expanding Boundaries
Bibliographic record
Abstract
Internationalization and learner autonomy offer rich theoretical frameworks to librarians for informing their professional practice. This poster identifies borders arising from an investigation of the phenomenon of internationalization and an examination of library and language learning intersections. In connecting these borders, librarians can expand the boundaries of their professional knowledge.L’internationalisation et l’autonomie de l'apprenant offrent aux bibliothécaires des cadres théoriques riches pour la connaissance de leur pratique professionnelle. Cette affiche identifie les frontières qui émergent de l'enquête sur le phénomène de l'internationalisation et de l'examen des intersections entre la bibliothèque et l'apprentissage des langues. En rapprochant ces frontières, les bibliothécaires ont l’occasion de repousser les limites de leurs connaissances professionnelles.
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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 | 0.013 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.032 |
| Scholarly communication | 0.017 | 0.023 |
| Open science | 0.001 | 0.019 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".