Librarians’ Experiences of the Teaching Role: Grounded in Campus Relationships
Bibliographic record
Abstract
Fifty-six semi-structured interviews were conducted in academic and public libraries across Canada in a study examining librarians’ experience of the teaching role. This paper focuses on participants’ revelations about the complex relationship between instructional librarians and teaching faculty. These relationships are examined through role theory and symbolic interactionism perspectives.Cinquante-six entrevues semi-structurées ont été menées dans les milieux des bibliothèques universitaires et publiques à l’échelle du Canada dans le cadre d’une étude visant à examiner l’expérience des bibliothécaires du rôle d’enseignement. Le présent article se concentre sur les révélations des participants au sujet de la relation complexe qui existe entre les bibliothécaires qui enseignent et les membres du corps professoral. Ces relations sont examinées par l’entremise de la théorie du rôle et des perspectives interactionnistes symboliques.
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How this classification was reachedexpand
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 | 0.005 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.030 |
| Open science | 0.003 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".