MétaCan
Menu
Back to cohort
Record W4408520416 · doi:10.7202/1116506ar

Contre-cartographie narrative avec de jeunes Autochtones de Montréal/Tiohtià:ke

2025· article· fr· W4408520416 on OpenAlexaffabout
Marie-Ève Drouin-Gagné, Stéphane Guimont Marceau

Bibliographic record

VenueRevue d’études autochtones · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Cet article présente un processus de cartographie participative avec des jeunes de la communauté autochtone de Montréal/Tiohtià:ke. Dans un contexte d’invisibilisation des territorialités autochtones urbaines, liée à la division coloniale de l’espace, la cartographie des espaces sociaux de jeunes Autochtones et de leurs territorialités a participé à leur redonner une place dans la ville, ou plutôt à visibiliser celles qu’ils et elles occupent déjà. La cartographie réalisée avec les jeunes a donné lieu à diverses formes de représentations (dessins, photos, récits, etc.) qui ont servi d’outils de communication et de partage des expériences et savoirs des jeunes Autochtones dans l’espace urbain. Au bout du compte, cette cartographie a surtout permis l’expression de récits individuels qui ont ensuite été rassemblés, dans un processus narratif collectif, pour la cocréation d’une carte narrative. Dans cet article, nous présentons des réflexions sur le processus de recherche et les possibilités méthodologiques de la contre-cartographie narrative qui permet de « raconter » des récits liés aux territorialités autochtones en milieu urbain pour les replacer dans la ville.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.339
Teacher spread0.302 · 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 teacher head, not a consensus.

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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueRevue d’études autochtonesSame topicIndigenous Studies and EcologyFrench-language works237,207