The Construction of Librarians’ Professional Identities: A Discourse Analysis
Bibliographic record
Abstract
Professional identities shape the way professions interact with their clients and society. As librarians are service-oriented professionals, a discursively informed understanding of identity can provide a new way to examine identity and expose the ways it impacts and informs how librarians interact with their clients and society at large. L’identité professionnelle détermine la façon qu’a une profession d’interagir avec sa clientèle et la société. Les bibliothécaires étant des professionnels dont la raison d’être est de rendre des services, saisir leur identité en s’appuyant sur la discursivité peut fournir une façon nouvelle d'examiner l'identité et d’exposer comment les bibliothécaires interagissent avec leurs clients et la société en général.*** Awarded the 2014 Student-to-CAIS Award ***
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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 | 0.019 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.019 | 0.019 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| 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".