MétaCan
Menu
Back to cohort

Arctique, par Nicolas Escach, Camille Escudé et Benoît Goffin (dir.)

2024· article· fr· W4391805673 on OpenAlexaffvenue
Laëtitia Marc

Bibliographic record

VenueAnthropologica · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

A rctique est un ouvrage collectif dirig par les gographes Nicolas Escach, Camille Escud et Benot Goffin, et publi dans la collection Odysse, villesportraits.Cette collection a pour ambition de proposer des recueils de textes, entre le carnet de terrain et le rcit de voyage, mls des ralisations artistiques.Cet ouvrage rassemble les contributions sensibles de 18 auteurs, majoritairement des gographes, mais aussi des anthropologues, des journalistes ou encore des biologistes, et de deux illustratrices.Ces derniers nous proposent un itinraire arctique de dix villes, chacune relie entre elles par le voyage (bateau, avion ou train) qui permet de mieux saisir les distances, le paysage arctique et ses transformations.En effet, si le livre offre des perceptions subjectives assumes de ces villes, il peint surtout un tableau des changements climatiques dans la rgion, entre nouveaux enjeux gopolitiques, disparition des glaciers et futur incertain.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0660.002

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 head0.029
GPT teacher head0.297
Teacher spread0.268 · 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
GenreOther

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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueAnthropologicaSame topicHistorical and Literary AnalysesFrench-language works237,207