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Record W2915040612 · doi:10.4000/apparences.1885

Orner et parer ? Les déformations crâniennes dans les Andes (xvie-xviie siècles)

2018· article· fr· W2915040612 on OpenAlexaff
Jérôme Thomas

Bibliographic record

VenueApparence(s) · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsCegep de Saint Jerome
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Les déformations crâniennes représentent des pratiques très anciennes et répandues dans pratiquement toutes les sociétés depuis la plus haute Antiquité. L’Amérique du Sud est l’une des aires géographiques où elles furent le plus largement mises en œuvre, particulièrement dans les Andes. Au xvie siècle, les Espagnols s’en étonnèrent fortement et décrivirent avec force détails ces usages qui leur semblaient si étranges. Dans cet article, nous axerons plus spécifiquement notre étude sur les techniques utilisées dans l’empire inca pour façonner les crânes pour au final tenter de mieux comprendre et analyser la symbolique esthétique, religieuse, sociale, ethnique, politique de telles coutumes profondément ancrées dans les sociétés andines, ce qui explique pourquoi les autorités espagnoles luttèrent férocement contre les déformations encore vivaces au xviie siècle.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.001

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 head0.039
GPT teacher head0.257
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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