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Record W2252485934 · doi:10.5663/aps.v5i2.27045

A Statistical Portrait of Inuit with a Focus on Increasing Urbanization: Implications for Policy and Further Research

2016· article· en· W2252485934 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venueaboriginal policy studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsCarleton University
Fundersnot available
KeywordsCensusQuarter (Canadian coin)UrbanizationContext (archaeology)PortraitGeographyEconomic growthSurvey data collectionPolitical scienceSocioeconomicsSociologyDemographyPopulationArchaeology

Abstract

fetched live from OpenAlex

Over a quarter of Inuit in Canada now live outside Inuit Nunangat (Inuit traditional lands). Many have migrated to large Canadian urban centres such as Edmonton, Winnipeg, Ottawa, and Montreal. This article pieces together data from the Census, National Household Survey, Aboriginal People’s Survey, and General Social Survey on Victimization to create a statistical profile of today’s Inuit in terms of income, employment, education, health, housing, crime and safety, and culture and language, and the context in which these data should be read. The article discusses the implications of the increasing urbanization of Inuit for policy and research, and concludes that support for innovative Inuit services in urban areas is necessary.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
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
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.060
GPT teacher head0.469
Teacher spread0.409 · 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