Transfer, Transformation, Transition: What the School Librarian can do in Transliteracy, the French context
Bibliographic record
Abstract
With the emergence of digital information, the school library as a physical location still exists but its spaces and boundaries are reshuffled. This major change encourages us to study the new distribution of spaces in school libraries, the relationships between different types of spaces (physical and digital, individual and social, private and public) and the way pupils move from one to the other. Information transliteracy is the topic of a research project led in France. Our research points out the transformation of learning strategies in collaborative situations, transfers between informal personal digital abilities and formal academic skills and between experts and novices, transition from learning to creating, cognitive redistribution between spaces. We explore and try to explain some of these processes which seem to us encouraging for the future of school libraries and signs of a renewal of the task of librarians, implying new modes of action which we will describe: mediation, creation, education.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.046 |
| Scholarly communication | 0.030 | 0.024 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".