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Record W7048833542

Les marqueurs osseux d'activités physiques : une étude des restes humains du cimetière St.Matthew à Québec (XVIIIe et XIXe siècles)

2006· other· fr· W7048833542 on OpenAlexaboutno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2006
Typeother
Languagefr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsTheriaGender relationsCultural environmentHomo sapiens
DOInot available

Abstract

fetched live from OpenAlex

De nombreuses études en anthropologie ont porté sur l’examen d’altérations osseuses en vue de reconstituer les activités physiques des hommes du passé. Notre recherche se distingue dans la mesure où nous avons réuni deux indicateurs pour prédire le comportement physique et l’asymétrie bilatérale des membres. Les squelettes de dix-huit individus représentant des hommes matures provenant de la série ostéo-archéologique du cimetière protestant St. Matthew à Québec ont été sélectionnés. Douze sites d’insertion musculaire ont été mesurés et quatre indices de stress mécanique ont été calculés pour les membres supérieurs et inférieurs. Nous observons des différences par catégories d’âge et les résultats ont permis de constituer quatre groupes d’individus selon le niveau total de stress physique. Les variations observées entre les groupes laissent supposer des modèles spécifiques de comportement physique, qu’il est possible d’associer à des catégories sociales de travailleurs.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.012
GPT teacher head0.219
Teacher spread0.207 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

Explore more

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