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Record W2786386358 · doi:10.7202/1043048ar

L’expérience de la diversité dans les quartiers de classe moyenne à Montréal

2018· article· fr· W2786386358 on OpenAlexaffvenueabout
Sandrine Jean

Bibliographic record

VenueAnthropologie et Sociétés · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsAcadia UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Les tensions sociales et politiques concernant la question de l’immigration qui secouent le Québec sont plus que jamais d’actualité. Alors que plusieurs travaux ont porté sur les attitudes face à l’immigration, nous proposons un regard ethnographique sur l’expérience de la diversité dans deux quartiers dits de « classe moyenne » de la grande région de Montréal. L’observation concrète des interactions interethniques dans les espaces publics ainsi que des entrevues qualitatives approfondies auprès de familles « natives » et d’origine immigrante avec de jeunes enfants nous permettent d’avancer que les espaces publics, plus particulièrement les parcs de quartier, apparaissent comme des lieux particulièrement privilégiés des familles dans l’expérience de la diversité et l’apprivoisement de la différence. Bien que la convivialité l’emporte sur l’aversion dans ces espaces publics, certains inconforts demeurent, surtout lorsqu’ils engagent des marqueurs religieux ou touchent à l’éducation des enfants. La sociabilité publique et la participation dans les réseaux communautaires, tant des « natifs » que des immigrants, permettent de dépasser certaines tensions et favorisent des rapprochements vers une cohabitation interethnique urbaine inclusive.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.018
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.205
GPT teacher head0.542
Teacher spread0.337 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueAnthropologie et SociétésSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207