MétaCan
Menu
Back to cohort
Record W2068800961 · doi:10.7202/021331ar

L’organisation spatiale et les mutations récentes de la périphérie de Quito : l’exemple de deux villages

2005· article· fr· W2068800961 on OpenAlexvenueno aff
Paul‐Yves Denis

Bibliographic record

VenueCahiers de géographie du Québec · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

La croissance rapide de Quito au cours des dernières années est à l'origine de nombreuses modifications dans les rapports qu'elle entretenait avec sa périphérie. En système traditionnel, comme c'est le cas en Equateur, le modèle classique de relations se caractérise par une forte domination urbaine. Cependant, l'étude de deux villages proches de Quito attire l'attention sur une double réalité : un isolement relatif et un comportement négatif à l'égard de la ville. Cette constatation, susceptible de s'appliquer à plusieurs villages répartis autour de la capitale, pourrait en outre expliquer dans une certaine mesure la faible diffusion de l'habitat précaire à Quito. A rencontre des généralisations hâtives trop souvent élaborées à partir de concepts globalisants sur les espaces dominés, cette recherche veut présenter et interpréter le système de relations homme-espace dans une perspective conforme à la démarche géographique ou l'enquête sur le terrain et l'observation ont toujours leur place.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.911

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.257
Teacher spread0.247 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCahiers de géographie du QuébecSame topicRegional Development and InnovationFrench-language works237,207