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Record W4249962876 · doi:10.1111/jmwh.12424

A Mixed‐Methods Study of Immigrant Somali Women's Health Literacy and Perinatal Experiences in Maine

2015· erratum· en· W4249962876 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Midwifery & Women s Health · 2015
Typeerratum
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsSomaliImmigrationCitationLiteracyHealth literacyMedicineLibrary sciencePsychologyPolitical scienceHealth careComputer sciencePedagogyLinguisticsLaw

Abstract

fetched live from OpenAlex

A Mixed-Methods Study of Immigrant Somali Women's Health Literacy and Perinatal Experiences in Maine Volume 60, Issue 6, 790, Article first published online: 8 December 2015 In the article, “A Mixed-Methods Study of Immigrant Somali Women's Health Literacy and Perinatal Experiences in Maine,” published in the September/October 2015 issue of the Journal of Midwifery & Women's Health (60[5]:593-603), there are errors in the fifth author's credentials and biography. The correct credentials and biography are: Vince Salyers, EdD, RN, is the Associate Dean of the Faculty of Health and Community Studies at Mount Royal University in Calgary, Canada.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0010.002
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 head0.038
GPT teacher head0.417
Teacher spread0.379 · 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 designObservational
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

Citations2
Published2015
Admission routes1
Has abstractyes

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