Bibliographic record
Abstract
Nous étudions la récurrence et la postérité dans la métaphysique analytique contemporaine d un certain nombre d arguments élaborés par Bertrand Russell afin de répondre à une question d ontologie fondamentale : comment les éléments de l être sont-ils reliés ? Comment peut-on répondre à cette question sans tomber sous le coup d une régression bradleyenne ? Interroger le statut des régressions bradleyennes (régressions vicieuses ou régressions inoffensives ?), déterminer la nature des relations (particuliers ou universels ? ; relations internes ou relations externes ?), ou bien encore adopter une perspective plus épistémologique, celle des vérifacteurs, sont ici les voies explorées. Nous étudions plus particulièrement le réalisme immanent de D. Armstrong, la théorie des tropes de K. Campbell, le nominalisme de la ressemblance de G. Rodriguez-Pereyra et le réalisme modéré de D. W. Mertz.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".