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Record W1586823159 · doi:10.7202/015895ar

Figures et territoires du désert australien : un paysage duel

2007· article· fr· W1586823159 on OpenAlexaffvenue
Suzanne Paquet

Bibliographic record

VenueCahiers de géographie du Québec · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La capacité d’action ou la fonction opératoire de l’art au regard des constructions identitaires issues des représentations territoriales est examinée suivant l’exemple de certaines zones désertiques dont les représentations se constituent à partir d’images plutôt que par les discours et les récits. En effet, si pour les habitants de l’Australie de même que pour ceux des États-Unis le centre désertique de leur pays respectif, dès sa conquête auXIXesiècle, se révèle et s’éprouve comme un site fondamental de leur identité, c’est notamment grâce à des figures iconiques et à leur circulation. Et dans le cas de l’Australie, le désert tient encore aujourd’hui une place centrale dans les conceptions identitaires nationales. Observant les déplacements des images et des artefacts ainsi que ceux des acteurs comme autant de médiations et de translations entraînant des déplacements de sens, l’on peut comprendre de quelle façon s’est élaborée l’image du désert et comment celui-ci est devenu la figure et le site d’une identité double, ou éventuellement partagée, pour les Australiens aborigènes et les Australiens blancs.

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)0.002
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 score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.012
GPT teacher head0.270
Teacher spread0.258 · 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

Citations0
Published2007
Admission routes2
Has abstractyes

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