Bibliographic record
Abstract
This essay considers how libraries and librarians resist and mobilize by sharpening the mind and strengthening solidarity, withstanding adverse conditions and providing shelter, and allowing for new community paths to be traveled despite the neoliberal insistence that there is no alternative. Militancy and commitment on the part of librarians are both discussed in terms of reading, literacy, identity, learning, training, and a form of leisure linked to culture.Everyday engagement in community-level activities and problem-solving by libraries goes hand-in-hand with supporting values such as justice, equality, solidarity, pluralism, freedom, equity, and respect. Trenches are used as a metaphor for libraries because the resistance work and struggle of librarians create spaces where certain fires are kept burning to inspire people sitting around them, and where resistance, planning, building, and counteracting are all possible. Cet essai prend en compte comment les bibliothèques et les bibliothécaires résistent et se mobilisent en façonnant l’esprit, en renforçant la solidarité, en résistant à des conditions défavorables et en fournissant des abris, et en permettant de prendre de nouveaux sentiers communautaires malgré l’insistance néolibérale qu’il n’y pas de solution de rechange. Le militantisme et l’engagement de la part des bibliothécaires sont tous deux examinés en fonction de la lecture, la littératie, l’identité, l’apprentissage, la formation et une forme de loisir liée à la culture. L’engagement quotidien dans les activités de la communauté et la résolution de problème des bibliothèques vont main dans la main avec le soutien des valeurs tels la justice, l’égalité, la solidarité, le pluralisme, la liberté, l’équité et le respect. La métaphore de la tranchée peut être employée pour les bibliothèques, car leur travail de résistance et les défis qu’ont les bibliothécaires à créer des espaces où la motivation perdure pour inspirer les personnes et où la résistance, la planification, le développement et la réconciliation sont tous possibles.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.030 | 0.069 |
| Scholarly communication | 0.044 | 0.024 |
| Open science | 0.002 | 0.025 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".