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Record W4406021584 · doi:10.1177/00961442241296519

An Insight into the Extent of the Sundown Town Phenomenon in Canadian Company Towns; the Thompson, Manitoba, Case Study

2025· article· en· W4406021584 on OpenAlexaffabout
Myriam Guillemette

Bibliographic record

VenueJournal of Urban History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsPhenomenonSociologyEthnographyGeographyEconomic geographyGender studiesAnthropology

Abstract

fetched live from OpenAlex

The notion of “sundown town” broadly encompasses the various methods employed by American towns and counties to exclude specific racial or ethnic groups from their borders. This paper mobilizes the sundown town notion to explore the dynamics of exclusion present within Canadian company towns by first establishing a sundown exclusion scale that categorizes cases of sundown towns in the United States. Using this framework, it then specifically examines the case of Thompson, Manitoba, a Canadian mining community established in 1956 by the International Nickel Company (INCO). Findings reveal that there appeared to be a voluntary absence of consideration by the parent company of the issues relating to employment and housing discrimination faced by the town’s First Nations and Métis population during the town’s first years of existence. The paper further discusses the lasting effects of these dynamics of exclusion and marginalization on the city’s residents of Indigenous identity.

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 score0.071
Threshold uncertainty score0.518

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0390.010
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.273
Teacher spread0.246 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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