MétaCan
Menu
Back to cohort
Record W2147339182 · doi:10.1177/0003122414564998

Contact Theory in a Small-Town Settler-Colonial Context

2015· article· en· W2147339182 on OpenAlexaffabout
Jeffrey S. Denis

Bibliographic record

VenueAmerican Sociological Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIndigenousPrejudice (legal term)RacismContact hypothesisSociologyHostilitySocial psychologyColonialismIdeologyContext (archaeology)Gender studiesFriendshipWhite (mutation)PoliticsPsychologyGeographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article builds on group position theory and the subcategorization model of intergroup contact by illustrating how, in a small-town settler-colonial context, contact tends to reproduce, rather than challenge, the inequitable racial structure. In Northwestern Ontario, Indigenous-settler relations are characterized by widespread intergroup marriage and friendship as well as pervasive prejudice and discrimination. Using 18 months of fieldwork and 160 interviews and surveys with First Nations, Métis, and non-Indigenous residents, I show that although contact is associated with less “old-fashioned” prejudice (i.e., overt categorical hostility), it does not necessarily eliminate whites’ superior sense of group position. Even white individuals who have close Indigenous friends or spouses often express laissez-faire racism. Three mutually reinforcing social processes—subtyping, ideology-based homophily, and political avoidance norms—interact to sustain whites’ sense of group superiority and justifications for racial inequity. These processes are facilitated by historical and structural conditions, in this case colonization and small-town dynamics.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.009
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.121
GPT teacher head0.417
Teacher spread0.296 · 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 designObservational
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

Citations125
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Sociological ReviewSame topicSocial and Intergroup PsychologyFrench-language works237,207