Bibliographic record
Abstract
Genel olarak Annales ismiyle bilinen tarih ekolü; Fransa’da yayimlanan ve akademik bir tarih dergisi olan Annales d’Historie Economique et Sociale (Ekonomik ve Toplumsal Tarih Yilliklari) adli dergi çevresinde toplanan akademisyenler tarafindan kurulmustur. Kuruculari; biri XVI. yüzyil uzmani olan Lucien Febvre ve digeri Orta Çag uzmani olan Marc Bloch’tur. Avrupa’da I ve II. Dünya Savaslari arasi dönemde, Fransa’da dogan ve yeni tarih yaklasimi merkeze alinarak yayin hayatina giren Annales d’Histoire Sociale et Economique dergisi etrafinda toplanan bir grup tarihçinin olusturdugu harekete Annales Okulu adi verilmistir. Hareketin merkezinde Lucien Febvre, Marc Bloch, Fernand Braudel, Georges Duby, Emmanuel Le Roy Ladurie ve Jackues Le Goff bulunmaktadir. Bir dergi etrafinda toplanan Annales grubu zaman içerisinde bir tarihsel ekol hâline gelmistir. Ekolün olusmasinda Febvre’in yazilarinin önemli bir katkisi olmustur. Febvre, yazilarinda multi-disipliner bir yaklasimla is birligine dayali arastirmalar, problem odakli tarih vb. yapilmasi gerektigini savunmustur.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".