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Record W3032155469 · doi:10.1177/0539018420926308

Devine qui s’invite aux élections cette année ! Les minorités visibles et leur représentation politique en Ontario et en Colombie-Britannique (Canada)

2020· article· en· W3032155469 on OpenAlexaffabout
Pascasie Minani Passy, Abdoulaye Guèye

Bibliographic record

VenueSocial Science Information · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEthnic groupPoliticsRepresentation (politics)SociologyLegislatureDynamismMeaning (existential)PremiseGender studiesHumanitiesEpistemologyEthnologyPolitical scienceAnthropologyLawPhilosophy

Abstract

fetched live from OpenAlex

This article deals with the level of political representation of ethnoracial minority groups in the legislative assemblies of Ontario and British Columbia. It aims at evaluating several theories on the level of political representation of ethnoracial minorities on the one hand, and on the difference between the levels of political representation of these groups on the other hand. One of its main inputs is theoretical. First, it introduces a complexification of the residential concentration theory and, above all of the premise of ethnic affinity by suggesting that a distinction should be made between two concepts: on the one hand centripetal ethnic affinity and, on the other hand, transversal ethnic affinity. The first concept deals with emotional tendencies – expressed by concrete acts – of members of an ethnic group to answer favorably to the incitement of individuals (As) who have the same ethnic identity than them (the As), against individuals of a different ethnicity (the Bs). Moreover, the concept of transversal ethnic affinity is of foremost importance here, as we talk about the political dynamism of pluriethnic societies where the distinction between majority and minority is far from enlightening, as each of these entities is composite, including indeed several ethnic groups whose interests converge as much as they differ according to the situations. This concept also draws its usefulness from the opportunity it offers to measure the meaning within the political space of the dichotomy between ‘white majority group’ and ‘racialized minority.’ On the methodological side, this article proceeds from the complete counting of legislative elections’ results that took place in 2018 in Ontario and 2017 in British Columbia, according to two main criteria: a) the ethnoracial identification of elected candidates, and b) the ethnic distribution of the population living in the electoral districts that elected a member of an ethnoracial minority.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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