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Record W7162017877 · doi:10.82308/30042

Integration et transnationalisme chez les Dominicains de Montreal

2001· dissertation· fr· W7162017877 on OpenAlexaboutno aff
Jacques-Luc. Dancause

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsTransnationalismDynamismImmigrationSocial integrationPrincipal (computer security)Test (biology)

Abstract

fetched live from OpenAlex

The integration of immigrants into host societies has been a topic of longstanding interest in the sociology of migration, whereas the study of transnationalism has only emerged in the last few years. Globalization, fueled by the rapid development of transportation and communication technologies, has been one of the principal factors in the rise of transnationalism. The aim of this study is to clarify the links between the immigrants' integration into the host society and the transnational activities in which they get involved. The initial hypothesis of this study was that immigrants' involvement in narrow transnational activities is linked to their weaker integration into Quebec society. To test this hypothesis, a series of interviews was conducted with members of the Dominican community of Montreal. These Dominicans were involved in varying levels of transnational activities within political, economic, and cultural spheres. The interviews were aimed at determining the integration process experienced by the different interviewees. The results of this study showed, in contrast to the hypothesized predictions, that involvement in transnational activities was not linked to lesser levels of integration. In fact, the Dominicans involved in the most intensive transnational activities revealed a capacity to integrate into the receiving society as easily as other Dominicans, often showing a greater dynamism in their integration. Involvement in intensive transnational activities seems to show a capacity on the part of some immigrants to grow and develop in two universes at the same time, that of the receiving and that of the sending society.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.036
GPT teacher head0.350
Teacher spread0.314 · 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
Published2001
Admission routes1
Has abstractyes

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