Bibliographic record
Abstract
Purpose In Quebec, where a large majority of public libraries are municipal departments, the mission of the libraries must be defined in collaboration with city councillors and acknowledged by them. The purpose of this paper is to understand the views of city councillors in Quebec on the mission of public libraries, and to compare them to actual library practices. Design/methodology/approach The research strategy adopted is a multiple case study. Interviews were conducted with 12 city councillors who represent their library on the city council. These interviews and the municipal cultural policies were subjected to a discourse analysis. The interviews with the directors of the public libraries and some documents were subjected to content analysis. Findings A conceptual framework based on the theory of social construction of reality is proposed to study the discourses of city councillors in their textual dimension, to contextualise them and to analyse them in comparison with library practices. Originality/value There is no homogeneous view among city councillors in Quebec on the mission of public libraries. However, a model of the discourse of city councillors does emerge. It is less developed than current literature. It presents a passive image of the library in which the tradition continues, ignoring the Information Society. The analysis also revealed that the views of city councillors are based on their own convictions as individuals, on their role in the management of the municipality as elected officials, and on the image they have of the users of public libraries.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.023 | 0.025 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".