MétaCan
Menu
Back to cohort
Record W2163288941 · doi:10.1177/1043659607309142

Challenges and Approaches to Newcomer Health Research

2007· review· en· W2163288941 on OpenAlex
Linda Ogilvie, Elizabeth Burgess‐Pinto, Catherine Caufield

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.

Bibliographic record

VenueJournal of Transcultural Nursing · 2007
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyMedicineGerontology

Abstract

fetched live from OpenAlex

Newcomers include immigrants, refugees, or asylum seekers. Approaches to research in newcomer populations include consideration of the insider-outsider status of the researcher(s), sample selection and recruitment strategies, and attention to language barriers. Potential research participants need to be identified, approached, and made to feel safe before, during, and after participation in research. Interpersonal relationships need to be negotiated with awareness of potential power imbalances, institutional discrimination, and trauma associated with premigration, migration, and settlement experiences. Embedded within these approaches should be awareness of the need to ensure the cultural safety of research participants through implementation of culturally competent research strategies.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.835
GPT teacher head0.577
Teacher spread0.258 · 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