MétaCan
Menu
Back to cohort
Record W4200394943 · doi:10.3138/cart-2020-0010

“Little Is Known of the Interior”: Applied Historical Cartography and Métis Aboriginal Rights in the Île-à-la-Crosse Region, Saskatchewan

2021· article· fr· W4200394943 on OpenAlexaffvenueabout
Frank Tough

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

Dans sa décision de principe sur les droits de chasse des Métis rendue à la suite de l’affaire R. c. Powley, la Cour suprême du Canada recourt au concept de mainmise effective pour marquer les limites de la période à considérer afin de déterminer si des pratiques particulières (p. ex., la chasse) font partie intégrante du mode de vie des Métis. Si ces pratiques n’ont pas été explicitement abolies par l’État avant 1982, alors elles font partie aujourd’hui des droits ancestraux des Métis et à ce titre, elles sont protégées par la Constitution. Déterminer la date de la mainmise effective de l’État est un problème empirique qui exige des recherches historiques approfondies. Devant les revendications de la Couronne quant à sa souveraineté et à l’extinction de droits autochtones, diverses activités peuvent servir de critères quant à l’établissement de la mainmise effective sur les régions pionnières (p. ex., les recensements). Des documents historiques montrent que des activités de topométrie et de cartographie ont matérialisé les efforts du gouvernement fédéral pour acquérir des connaissances géographiques. En ce qui concerne la nécessité constante de clarifier les droits ancestraux des Métis, la valeur des sources cartographiques historiques comme moyen de reconstruire la lente évolution des connaissances géographiques de l’État est illustrée par l’exemple de la région d’Ile-à-la-Crosse. La cartographie historique, par conséquent, peut contribuer à clarifier les droits des Métis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.010
Science and technology studies0.0050.008
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.323
Teacher spread0.311 · 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 designQualitative
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
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicIndigenous Studies and EcologyFrench-language works237,207