Making Time for the Past: Historical Scholarship in the Information School
Bibliographic record
Abstract
The transition from library to information schoolmarginalized historical teaching and scholarship. Theinformation school has potential as interdisciplinaryspace where scholars can integrate historicalresearch methods with other social science andhumanities traditions. Ongoing research projects willilluminate one vision for the future of history withinthe information school.La transition des écoles formant des bibliothécairesaux écoles en sciences de l’information a marginalisél’enseignement historique et l’érudition. L’école ensciences de l’information a un potentiel commeespace interdisciplinaire où les chercheurs peuventintégrer des méthodes de recherche historiques avecd’autres traditions des sciences sociales et humaines.Des projets de recherche en cours se proposent demettre en lumière une vision pour l’avenir de l’histoireau sein de l’école en sciences de l’information.
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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.024 | 0.058 |
| Scholarly communication | 0.029 | 0.033 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 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".