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Latin American Canadians Rethink Their Political Spaces: Grass-Roots or Electoral Participation?

2009· article· en· W2146408989 on OpenAlexaboutno aff
Jorge Ginieniewicz

Bibliographic record

VenuePolitical Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsGrassrootsDistrustLatin AmericansPolitical scienceDisappointmentFocus groupPolitical economySociologyPolitical efficacyLawSocial psychology

Abstract

fetched live from OpenAlex

Framed by the debate on the decline of party politics and the rise of grass-roots participation, this article explores the civic and political involvement of a group of Latin American immigrants in the city of Toronto. The data were drawn from 100 interviews and two focus groups, one composed of participants who, in Canada, participated at the grass-roots level, and another focused on interviewees who were engaged in political parties. Overall results indicate that, compared to Latin America, in Canada there was a decline in the levels of engagement in formal politics, particularly in political parties, and a slight increase in the levels of participation in grass-roots politics. Associated with grass-roots politics is the perception that it is possible to transform the social reality. Disappointment with the traditional forms of political representation accompanied by a sense of distrust of political parties dominated both focus groups. Limited command of English, low socio-economic status and lack of knowledge of the ‘dynamics of Canadian politics’ were identified as factors that reduced the opportunities for this community to become more politically active. Interestingly, these obstacles seem to be more prevalent in electoral than in grassroots politics.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.067
GPT teacher head0.364
Teacher spread0.297 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations11
Published2009
Admission routes1
Has abstractyes

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