Reading Proclus and the Book of Causes Volume 1 Western Scholarly Networks and Debates
Bibliographic record
Abstract
The majority of contributions reunited in this volume were first presented during the first of the three sessions of the conference “Les Éléments de théologie et le Livre des causes du Ve au XVIIe siècle”. It took place at the École pratique des hautes études, Paris, on 13–14 November 2015, during the terrorist attacks. The second took place on 12–13 February 2016, and the third on 14–15–16 April 2016; all within the framework of the project LIBER (ANR13-PDOC-0018-01) which I directed between 2013 and 2017 at the École pratique des hautes études, Paris, and which generously financed these meetings and the publication of the proceedings. The conferences were organised by Marc Geoffroy and myself, under the auspices of Olivier Boulnois, Philippe Hoffmann, RuediImbach, Zénon Kaluza and Dominique Poirel.I wish to acknowledge the important support of the following bodies in the organisation of the conference: École pratique des hautes études, Équipe “philosophie arabe” of the Centre “Jean Pépin”—CNRS (UMR 8230), Laboratoire d’études sur les monothéismes—CNRS (UMR 8584), Labex haStec (Laboratoire européen d’histoire et anthropologie des savoirs, des techniques et des croyances), Institut de recherche et d’histoire des textes—CNRS, Centre “Pierre Abélard”— Université Paris Sorbonne.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".