Bibliographic record
Abstract
G ay and L esbian T heology : see Q ueer T heology . G ender : see F eminist T heology ; S exuality . G ilson , É tienne Étienne Gilson (1884–1978) was a Parisian Thomist (see T homism ). Like C. Péguy (1873–1914) and J. Maritain (1882–1973), he listened spellbound to the lectures of philosopher H. Bergson (1859–1941) at the Collège de France. He simultaneously heard L. Lévy-Bruhl (1857–1939) lecture on D. Hume (1711–76). While Bergson attuned Gilson to metaphysical realism, Lévy-Bruhl inspired and trained him to be a historian of ideas. Gilson wrote his PhD under Lévy-Bruhl on R. Descartes (1596–1650). His first major works were on T. A quinas (1919) and Bonaventure (1924). After founding the Institute for Mediaeval Studies in Toronto in 1929, Gilson taught half the year in Paris, as professor of medieval philosophy at the Collège de France, and half in Toronto. Gilson made three principal contributions to twentieth-century theology. Neo-Scholastic ideology and the exigencies of Catholic apologetics had made Aquinas the theoretical standard by which to judge, and the historical model to which to assimilate, the other medieval thinkers (see S cholasticism ). Gilson's first service to modern theology was as a historian. With his highly readable, text-based studies of A ugustine , Bonaventure (1221–74), Bernard of Clairvaux (1090–1153), P. Abelard (1079–1142), Dante ( ca 1265–1321), J. D uns S cotus , and lesser lights, Gilson demonstrated the diversity of medieval Christian thinkers. Such historical research by a respected historian and Thomist laid the groundwork for the ressourcement movement of the 1950s.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.259 | 0.163 |
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".