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Record W4256149253 · doi:10.32920/ryerson.14661309

Identity and belonging formations of second generation Portuguese

2021· preprint· en· W4256149253 on OpenAlexaboutno aff
Jani Maria Ferreira Trindale

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseIdentity (music)NegotiationMainstreamEthnic groupSettlement (finance)Identity negotiationImmigrationGender studiesSociologyPolitical scienceAnthropologySocial scienceLinguisticsAestheticsLawBusinessArt

Abstract

fetched live from OpenAlex

My paper investigates eight second generation Portuguese from the ages of 18 to 30, across the GTA, and attempts to explore how second generation Portuguese negotiate their identity and sense of belonging in an ever-changing social environment. While there is extensive literature on the settlement experiences of the first generation Portuguese, there is mininmal information on how second generation Portuguese have integrated within the Canadian mainstream. Therfore, this analysis aims to follow the contours of negotiation among the second generation Portuguese, paying particular attention to the formation of identity and constructions of belonging. In addition, this research will seek to answer on mininmal level, other questions on the subject. For instance, how are Portuguese Canadians forming and reforming their ethnic identity? What cost and benefits are involved in belonging/not belonging to groups? How do people maintain individuality within groups?Children of immigrants

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)0.002
metaresearch head score (Gemma)0.004
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 score0.539
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0120.005
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.277
Teacher spread0.246 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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