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Record W4367159410 · doi:10.7202/1077278ar

The Urbanization of Indians in Winnipeg, Toronto, Edmonton and Vancouver: A Comparative Analysis

2021· article· en· W4367159410 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCulture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsTrent University
Fundersnot available
KeywordsKinshipUrbanizationIdeologyAccommodationSociologyImmigrationEconomic geographyInstitutional analysisGeographyEconomic growthDevelopment economicsPolitical scienceAnthropologyEconomicsPsychology

Abstract

fetched live from OpenAlex

This study undertakes a comparative analysis of the migration, adjustment and integration of Indians into four large Canadian cities. The study explores several dimensions of the urbanization of Native people including: motivational determinants of the migration, employment and income structures, kinship networks, institutional participation, social adjustment, and return migration. The analysis demonstrates that Native people in urban areas exhibit low levels of economic adjustment and do not extend their participation into the institutions of the larger society. Rather, they appear to exhibit a “dual orientation” pattern of urban accommodation, exploiting the city for economic purposes but looking to the reserves for ideology, cultural identity, and social ties.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.304
Teacher spread0.293 · 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