Bibliographic record
Abstract
Toma Akvinac rodio se 1225. godine u talijanskom gradiću Roccasecca. Već od pete godine života Toma boravi u samostanu. 1245. godine napušta rodni grad te odlazi u Napulj k benediktincima. Vrlo brzo biva prepoznat kao izniman intelektualni kapacitet te se penje u hijerarhiji reda pod budnim okom Alberta Velikoga. 1259. godine je na poziv Ivana Nijemca sudjelovao u radu Općeg zbora reda u Valneciennesu, na kojem je, uz pomoć Alberta Velikoga, stavio veliki naglasak na znanstveni rad u svim samostanima, a napose na proučavanje filozofije. Na taj način Toma je izravno i neizravno sudjelovao u usmjeravanju načina rada i filozofsko-teološkog djelovanja unutar samoga reda. 1265. godine Toma seli u Rim gdje preuzima službu upravitelja dominikanskog učilišta u samostanu sv. Sabine. U tom razdoblju, pod utjecajem ciparskoga kralja Huga II. iz Lusignana Toma počinje raditi na djelu De regno (O kraljevstvu). Umire u cistercitskom samostanu u Fossanovi 1274. godine. Toma je bio jedan od najznačajnijih skolastičara, izvršiviši sintezu biblijske misli i aristotelizma. Njegovo tumačenje i pristup Aristotelovoj filozofiji bio je u njegovo doba velika novost. Takva sinteza biblijskih vrednota i temeljnih Aristotelovih postavki filozofije politike, uz značajan utjecaj drugih značajnih prethodnika(Platon, Ciceron, Aurelije Augustin) prožima njegovo djelo De regno.
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 | 0.001 | 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 | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".