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Record W4405317376 · doi:10.3828/qs.2024.18

Identités diasporiques mises en cause chez des femmes immigrées d’origine portugaise : le cas de Joaquina Pires

2024· article· fr· W4405317376 on OpenAlexaffabout
Fabio Scetti

Bibliographic record

VenueQuebec Studies · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à Trois-RivièresMcGill University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cette contribution propose une analyse de deux ouvrages littéraires collectifs autour d’histoires de jeunes femmes et de grands-mères d’origine portugaise immigrées qui sont arrivées au Canada ou ailleurs dans des contextes similaires. Avós : raízes e nós (2020), de Aida Baptista, Ilda Januário et Manuela Marujo, offre un véritable parcours au sein de représentations identitaires de personnes issues de la migration portugaise en quête d’identité, face à leurs grands-parents souvent restés au pays. Menina e moça me levaram (2021), de Aida Baptista, au contraire, veut mettre en avant la position de femme immigrante et de réussite, en soulignant les obstacles existentiels rencontrés tout au long du processus d’intégration linguistique et sociale, et en proposant la richesse et la diversité de certains chemins de vie. Nous soulignons ici l’histoire de Joaquina Pires et son « voyage » personnel de migrante, parcours exemplaire qui s’inscrit au sein de la communauté portugaise de Montréal.

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)0.003
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 score0.856
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.054
GPT teacher head0.339
Teacher spread0.285 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueQuebec StudiesSame topicCanadian Identity and HistoryFrench-language works237,207