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Record W2773742542 · doi:10.7202/1038638ar

Efficacité thérapeutique comme ligne de fuite

2017· article· fr· W2773742542 on OpenAlexaffvenue
Julie Laplante, Marcus Sacrini

Bibliographic record

VenueAnthropologie et Sociétés · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

L’efficacité thérapeutique est au coeur de l’anthropologie médicale qui s’intéresse aux diverses pratiques de guérison à travers le monde. Il s’agit ici de reprendre ce débat à partir d’une recherche de terrain conduite au sein des pratiquesjamuà Yogyakarta (Jogja) à Java en Indonésie. La préparation et la consommation quotidienne de breuvages à bases de plantes, rhizomes, épices, écorces fraiches que l’on roule, presse, pile et liquéfie évoquent une efficacité thérapeutique située au niveau de l’expérience vécue. Nous emprunterons à la phénoménologie de la perception merleau-pontienne, à la pensée rhizomique deleuzo-guattarienne, ainsi qu’à la philosophie javanaise du corps qui permettent de comprendre cette efficacité thérapeutique comme ligne de fuite ou de déterritorialisation. Ce faisant, nous rappelons que l’efficacité thérapeutique réduite à des corrélations causales infra-phénoménales, tel que dans l’actuel standard scientifique de l’essai clinique randomisé (ECR), ne couvre pas de façon exhaustive l’expérience humaine du processus thérapeutique.

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)0.010
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.332
GPT teacher head0.587
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 designQualitative
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

Citations2
Published2017
Admission routes2
Has abstractyes

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