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Record W2181124660

L’apport de l’anthropologique à la perception contemporaine de l’humain

2015· article· fr· W2181124660 on OpenAlexaff
Victor Pereira da Rosa, Jean Lapointe

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsSaint Paul UniversityUniversity of Ottawa
Fundersnot available
KeywordsPhilosophyHumanitiesHumanityEvolutionismEpistemologyTheology
DOInot available

Abstract

fetched live from OpenAlex

Dans ce texte, les auteurs ont pour objectif d’extraire l’image de l’humain qui se dégage de l’expérience anthropologique. Ils concluent que l’image de l’humanité est multiple et variante, donc que l’espoir d’une vision unique est utopique. En fait, on peut s’attendre à ce qu’elle se modifie encore dans l’inexorabilité de l’histoire. Les postulats de l’évolutionnisme permettent d’entrevoir une accélération du changement. ------ In this paper, the authors make an attempt to extract the image of humans that emerges from the anthropological experience. They conclude that this image of humanity is multiple and variant, so that the expectation of finding a unified vision is utopian. In fact, we can predict that it will change again due to the necessity of history. The assumptions of evolutionism presume an accelerated change. ------ Neste artigo, os autores pretendem extrair a imagem do ser humano que emerge da experiência antropológica. Eles concluem que esta imagem da humanidade é múltipla e variável, pelo que a esperança de encontrar uma visão única é utópica. Na verdade, podemos prever que ela ainda vai mudar devido à inevitabilidade da história. Os postulados do evolucionismo presumem uma mudança acelerada.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.017
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0130.002

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 head0.145
GPT teacher head0.456
Teacher spread0.311 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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