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Record W1893661012 · doi:10.7202/012936ar

Habiter, aperçus d’une science géographique

2006· article· fr· W1893661012 on OpenAlexvenueno aff
Olivier Lazzarotti

Bibliographic record

VenueCahiers de géographie du Québec · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesHabitSociologyPhilosophyPsychology

Abstract

fetched live from OpenAlex

Cet essai se propose d’envisager ce que pourraient être, dans leur diversité mais aussi leur cohérence, les traits, les problématiques et les perspectives d’une science géographique fondée sur le concept d’habiter. Distinguant trois instances d’analyse, l’espace habité, l’habitant et la cohabitation, l’idée est aussi d’envisager leur articulation dans les dynamiques d’un rapport d’habitation. Ainsi s’ouvrent les dimensions existentielles et politiques d’une telle approche. Au-delà, se pose l’éventualité d’une structuration topique fondamentale des êtres humains et des sociétés, c’est-à-dire celle d’espaces habités non géographiques, mais pourtant construits et appréhendables avec les notions communes aux espaces habités géographiques. Et cela revient encore à examiner les limites du concept autant que celles de cette science géographique.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.010
Science and technology studies0.0040.140
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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
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

Citations22
Published2006
Admission routes1
Has abstractyes

Explore more

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