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Political cultures and transnational social fields: Chileans, Colombians and Canadian activists in Toronto

2010· article· en· W2133018130 on OpenAlexaffabout
Patricia Landolt, Luin Goldring

Bibliographic record

VenueGlobal Networks · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsPoliticsDivergence (linguistics)SociologyPolitical actionGender studiesField (mathematics)Action (physics)Social movementPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract We offer an institutional analysis of Chilean and Colombian transnational politics in Toronto to account for cross‐group variation in transnational political practices and the formation of different types of transnational social fields of political action. The article is based on interviews conducted with Chilean and Colombian community activists and Canadian refugee rights and social justice activists. We use the concept of political culture to account for differences in Chilean and Colombian transnational politics and to explain the different kinds of relationships the two groups have developed with non‐migrants. We introduce the concept of activist dialogues, understood as patterns of strategic political interaction between groups, to characterize how migrants and non‐migrants read and navigate their interlocutors' ways of doing politics. We argue that variation in the character of activist dialogues results in different types of transnational social fields of political action. Chilean–Canadian activist dialogues reflect a convergence of political cultures and strategies of action; Colombian–Canadian activist dialogues are marked by a relationship in which there is a divergence of strategies of action. Convergent dialogues produce thicker and more stable transnational social fields. Divergent dialogues are associated with a series of ad hoc initiatives, the absence of stable and strongly institutionalized partnerships, and a thinner transnational social field of political action.

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)0.003
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 score0.103
Threshold uncertainty score0.750

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0190.007
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.007
GPT teacher head0.305
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 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

Citations31
Published2010
Admission routes2
Has abstractyes

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