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Record W6980300394

Bourse de thèse en géographie humaine, Université de Montréal PhD Position in Human Geography, University of Montreal

2011· other· fr· W6980300394 on OpenAlexaffabout

Bibliographic record

VenueOpenEdition (OpenEdition) · 2011
Typeother
Languagefr
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPosition (finance)Work (physics)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Poste de doctorant en géographie humaine sur le thème : gouvernance, services municipaux, approvisionnement en eau. Ce poste présente une excellente occasion de s’impliquer dans un projet axé sur les nouvelles tendances en matière de gouvernance de l'eau à l'échelle municipale avec des implications pour relever les défis persistant de l'approvisionnement en eau dans les zones à faible revenu. Le doctorant se concentrera sur l’exécution de l’approvisionnement en eau par les sociétés municipales en vertu de différents régimes de gouvernance et de réglementation. Le candidat retenu sera supervisé par le Dr Kathryn Furlong, professeure adjointe au Département de géographie (www.kathrynfurlong.com).

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0050.002
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2190.016

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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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 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".

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Citations0
Published2011
Admission routes2
Has abstractno

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