Prácticas formativas en las bibliotecas públicas canadienses
Bibliographic record
Abstract
Este artículo presenta un estudio nacional sobre las actividades relacionadas con la alfabetización\ninformacional (AI) desempeñadas por las bibliotecas urbanas y rurales de Canadá y sobre las opiniones\nque tienen los bibliotecarios sobre estos servicios. Ésta es la primera fase de un estudio cuyo objetivo es\nanalizar el papel real y potencial de las bibliotecas públicas canadienses para desarrollar en los usuarios\nlas destrezas relacionadas con la búsqueda, recuperación y uso de la información. A pesar de la necesidad\nurgente de desarrollar estas destrezas y de la expectativa de que las bibliotecas publicas desempeñen\nesta función (tal y como el gobierno federal contempla en el proyecto denominado Connecting Canadians\n[Todos los Canadienses Conectados]), la experiencia real tanto de los bibliotecarios como de los\nusuarios no confirma esta expectativa. Este estudio analiza la función de la biblioteca pública, como\ninstitución sin ánimo de lucro y parte implicada, en el desarrollo de una política de información del\ngobierno federal. Además, este estudio da la oportunidad de expresarse a un sector de profesionales\nde los que se espera que desempeñen una importante función dentro de la política nacional aunque\nsin contar con los recursos necesarios. | This article reports on a national survey of information literacy (Il) instruction in urban and rural\npublic libraries in Canada and public librarians' attitudes towards these services. The survey is the first\nphase of a study exploring the actual and potential role of Canadian public libraries in developing the\npublic's Il skills. Despite an urgent need to develop such skills, and expectations that public libraries\nfulfill that role (specifically articulated by the federal government through its 'Connecting Canadians'\ninitiative), the real experiences of public librarians and of public library customers may not bear out this\nexpectation. The survey analyzes the role of the public library, as a non-profit institution and primary\nstakeholder, in advancing federal government information policy. In addition, the study gives voice to\na community of professionals expected to fulfill an important federal policy function, but provided with\nfew resources with which to do so.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.016 | 0.015 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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".