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Record W1561090646 · doi:10.7202/019724ar

Quelques données sur la langue tchouktche

2009· article· fr· W1561090646 on OpenAlexvenueno aff
Charles Weinstein

Bibliographic record

VenueÉtudes/Inuit/Studies · 2009
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La langue tchouktche appartient à la même famille linguistique que les dialectes koriaks. De nos jours le processus d’extinction de la langue parlée paraît irréversible alors que vers 1950 les Tchouktches parlaient encore tous leur langue. Le lexique révèle une grande variété, particulièrement en ce qui concerne l’espace et le temps, la toundra, la mer, les phénomènes naturels, les coutumes. Plus de 320 mots désignent le renne. Des éléments du lexique sont communs à la langue des Tchouktches et à celle des Yupiget de Sibérie, de même que certains traits de langue. La langue tchouktche est beaucoup plus variée dans le domaine de la morphologie et de la syntaxe que ne le laissent supposer les descriptions faites à ce jour. Le fonctionnement de la langue est marqué notamment par les phénomènes de l’harmonie vocalique, l’existence de parlers masculin et féminin, le rôle important de l’affixation, l’emploi fréquent de verbes auxiliaires dans la phrase, l’existence de nombreux gérondifs et leur usage dans la prédication, la large polyvalence des temps du verbe et des cas de la flexion nominale.

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)0.001
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.004

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 head0.057
GPT teacher head0.293
Teacher spread0.236 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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