Becoming Librarians, Becoming Teachers: Kairos and Professional Identity / Devenir bibliothécaire, devenir enseignant : Le Kairos et l'identité professionnelle
Bibliographic record
Abstract
Using kairos as an analytic lens, this article examines debates around the professional role of librarians as teachers as an example of professionalizing discourse. Rather than inexorably leading librarians toward the best way to understand and teach information literacy, kairos surfaces the discourse as being productive instead of the profession itself. Cette etude s’appuie sur la notion de kairos comme outil d’analyse pour examiner le debat autour du role professionnel des bibliothecaires en tant qu’en-seignants, comme exemples de discours de professionnalisation. Plutot que mener les bibliothecaires inexorablement a la meilleure facon de comprendre et d’enseigner la competence informationnelle, le kairos emerge du discours comme productif en lieu et place de la profession elle-meme.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.017 | 0.036 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".