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Record W2954499418 · doi:10.1080/09739572.2019.1635374

The ambiguous transnationalism of the Roma in Toronto

2019· article· en· W2954499418 on OpenAlexaffabout
Cynthia Levine‐Rasky

Bibliographic record

VenueDiaspora Studies · 2019
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsTransnationalismPoliticsSociologyContext (archaeology)Diversity (politics)Gender studiesConventionPolitical scienceSocial scienceLawAnthropologyHistory

Abstract

fetched live from OpenAlex

While crossing cultural and political borders and maintaining relations spanning those borders should qualify the Roma of Toronto as a transnational group, they are not easily subsumed under theories of transnationalism. Reasons pertain to the asylumseeker status of a segment of the community, as well as their ‘super-diversity’. These factors mitigate effective transnational activities. More problematic in viewing local Roma through a uniform transnational lens is the concept of host/home, a linguistic convention used throughout the literature. Due their history and current status as a vilified minority throughout Europe, the possibility of belonging to a ‘home’ country has been undermined by states that are intent on subjugating the Roma as permanent outsiders. In assessing the applicability of general theories of transnationalism, the Roma embody a unique case that calls for a more thorough recognition of political context and social particularity.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.009
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0000.001
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 head0.049
GPT teacher head0.428
Teacher spread0.379 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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