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Record W2018494238 · doi:10.4000/echogeo.13856

Cartographies policières : la dimension vernaculaire du contrôle territorial

2014· article· fr· W2018494238 on OpenAlex
Mélina Germes

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEchoGéo · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversity nuhelot'ine thaiyots'i nistameyimâkanak Blue Quills
Fundersnot available
KeywordsGeographyHumanitiesCartographyForestryArt

Abstract

fetched live from OpenAlex

Le « crime mapping » (ou cartographie de la criminalité), très développé dans les polices métropolitaines ou régionales de pays anglophones, fait l’objet de controverses intenses. Celles-ci sous-estiment cependant deux éléments : premièrement, l’antériorité de pratiques cartographiques dans la police à l’acquisition des outils de cartographie numérique ; deuxièmement, des pratiques cartographiques sur le terrain caractérisées par l’autodidactisme. Les pratiques policières de cartographie relèvent ainsi d’une culture professionnelle particulière distincte de l’expertise des cartographes professionnels : cet article met en évidence la dimension vernaculaire du travail cartographique policier et montre en quoi les multiples cartographies policières sont malgré tout au service d’un projet territorial de contrôle. Grâce à une enquête sur la cartographie dans la gendarmerie nationale française, l’article contribue à une approche géographique de la police ancrée dans la cartographie critique et la géographie francophone.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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