Bibliographic record
Abstract
Els últims anys moltes biblioteques escolars han viscut processos d’abandonament i posteriors accions de recuperació. En aquest article s’exposa, a partir d’aportacions de qui ho ha viscut en primera persona, la tasca que han de dur a terme docents, com les coordinadores i els membres de la comissió de la biblioteca escolar. Accions que van des de la necessària esporga de llibres fins a la meditada compra de material bibliogràfic, la posterior catalogació, el manteniment o la seva difusió per tota la comunitat educativa. La reflexió dels qui han viscut aquesta experiència ens ha transmès el que passa a moltes biblioteques escolars: existeix la ineludible dicotomia entre les tasques físiques i les pròpiament pedagògiques, la planificació és imprescindible per avançar i la manca d’hores esdevé una barrera que se supera amb creativitat i col·laboracions altruistes.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.074 | 0.013 |
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".