MétaCan
Menu
Back to cohort
Record W1921322140 · doi:10.7202/1032215ar

La métaphysique de la nature à l’Académie de Berlin

2015· article· fr· W1921322140 on OpenAlexaffvenue
Christian Leduc

Bibliographic record

VenuePhilosophiques · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Dans le présent article, je montre que Maupertuis et Euler proposent une conception contrastée de la métaphysique de la nature. Il s’agit principalement pour eux de repositionner la cosmologie par rapport aux sciences de la nature. Au lieu de considérer la métaphysique comme étant au fondement des théories scientifiques, comme le supposent Descartes, Wolff et, d’une certaine manière, Kant, ou simplement d’interdire l’idée même d’une cosmologie, comme le stipulerait à la même époque d’Alembert, Maupertuis et Euler, renversent l’ordre des disciplines pour donner aux sciences physiques une primauté sur la métaphysique. Ce repositionnement entraîne évidemment plusieurs questions : d’abord, de quelle manière les théories scientifiques peuvent-elles valider ou infirmer un principe métaphysique ? Plus important encore, quel rôle incombe à la métaphysique de la nature, étant donné que les sciences possèdent non seulement une autonomie théorique, mais même une priorité sur les réflexions ontologiques. Il semblerait d’ailleurs que la métaphysique se réduise, pour ces deux philosophes, au seul domaine du cosmologique, en particulier aux questions qui concernent la force et le principe de moindre action, au statut ontologique de l’espace et du temps et aux déterminations de la matière que sont l’étendue, l’inertie, l’impénétrabilité et le mouvement.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.006
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.003

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.

Opus teacher head0.142
GPT teacher head0.396
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2015
Admission routes2
Has abstractyes

Explore more

Same venuePhilosophiquesSame topicHistorical and Literary StudiesFrench-language works237,207