MétaCan
Menu
Back to cohort
Record W216090655

Nina REUTHER : La mémoire chantée des Secwepemc. Transmission orale des savoirs et gestion d’accès aux ressources chez les « Shuswap » (Colombie Britannique, Canada). Thèse de doctorat en ethnologie, soutenue le 8 décembre 2007 à l’Université Strasbourg 2 – Marc Bloch

2008· article· fr· W216090655 on OpenAlex
Nina Reuther

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCahiers d’ethnomusicologie. Anciennement Cahiers de musiques traditionnelles · 2008
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities
DOInot available

Abstract

fetched live from OpenAlex

Ce travail cherche a definir la fonction du chant dans un systeme nord-amerindien de transmission orale des savoirs, celui des Secwepemc ou « Shuswap », nation habitant le nord de la region du Plateau nord-americain. Selon l’entendement des Secwepemc, les chants non seulement accompagnent tout rituel, toute ceremonie, toute rencontre entre etres vivants, mais font egalement part d’un systeme de droits d’acces aux ressources materielles et immaterielles. Par ce fait, tout chant est lie a une h...

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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.012
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.276
Teacher spread0.235 · 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