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Record W2790124868 · doi:10.1163/23519924-00401007

Women Pluralists Negotiating Immigrant Children’s Health in an Era of Mass Migration (the 1960s)

2018· article· en· W2790124868 on OpenAlex
Franca Iacovetta

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Migration History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImmigrationGrassrootsGender studiesMulticulturalismPolitical scienceNegotiationAgency (philosophy)CitizenshipSociologyEconomic growthLawSocial science

Abstract

fetched live from OpenAlex

The article explores immigrant children’s health in Toronto, Canada, during mass migration by analysing a 1960s women-led project involving southern Europeans launched by the International Institute of Metropolitan Toronto, the city’s leading immigrant agency and part of a long-standing North American pluralist movement. Focused on the immigrant female fieldworkers tasked with convincing parents known for their ‘reticence’ in dealing with ‘outsiders’ to access resources to ensure their children’s well-being, it assesses their role as interpreters for the public health nurses investigating the Italian and Portuguese children who increasingly dominated their referrals from Toronto’s downtown schools. Without exaggerating their success, it documents the women’s capacity for persuasion, and notes the value of community-based pluralist strategies in which women with links to those being served play active roles as front-line intermediaries. The article highlights the history of women’s grassroots multiculturalism and the need to consider pluralism’s possibilities as well as its limits.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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