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Record W1988038902 · doi:10.1353/hpu.2012.0105

Understanding the Health Transitions of Immigrants to Canada: Research Priorities

2012· article· en· W1988038902 on OpenAlex
Fernando G. De Maio

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Health Care for the Poor and Underserved · 2012
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationConceptualizationEthnic groupPublic healthRace (biology)SociologyPolitical sciencePsychologyMedicineGender studies

Abstract

fetched live from OpenAlex

Understanding changes in the health of immigrants has been an important area of research in Canadian public health. Recent years have seen important developments, with studies moving away from what might be called 'sick immigrant' versus 'healthy immigrant' debates towards analyzing transitions and how they are influenced by a diverse set of social determinants. The release of data from all three waves of the Longitudinal Survey of Immigrants to Canada has also spurred new theoretical understandings of why immigrants' initial health advantage is lost over time, with the experience of discrimination becoming an increasingly important predictor. Three research priorities are emerging as particularly important in this area. These are the need for multilevel analyses that incorporate contextual effects, the need for comparative international studies, and the need to refine the conceptualization of race/ethnicity to take advantage of developments in social theory.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.261
GPT teacher head0.427
Teacher spread0.166 · 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