MétaCan
Menu
Back to cohort
Record W3091965018 · doi:10.3138/cpp.2019-055

Maternity Care Providers’ Perceptions of the Implications of Birth and Gestation Tourism for Patients, Health Care Providers, and the Canadian Health Care System

2020· article· en· W3091965018 on OpenAlexaffvenueabout
Hannah Rahim, Stacey Page, Fiona Mattatall, Ian Mitchell, Juliet Guichon

Bibliographic record

VenueCanadian Public Policy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsLegislationImmigrationCitizenshipHealth careTourismMedical tourismBusinessNursingMedicinePolitical scienceFamily medicineLawPolitics

Abstract

fetched live from OpenAlex

This study investigates maternity care providers’ perceptions of birth tourism and international gestational preconception arrangements (i.e., surrogacy). A convenience sample of 136 maternity care providers from Alberta and British Columbia completed our online survey. Respondents reported consequences of both practices, including redirection of Canada’s health care resources from local citizens, ramifications for the integrity of the immigration system, socio-economic consequences for the health care system and care providers, and health risks for mothers and infants. Of the respondents, 30.6% somewhat disagreed and 31.3% strongly disagreed with awarding citizenship by birth in Canada, 81.4% stated that birthright citizenship legislation should be modified, and 80.0% stated that Canada should disallow foreign nationals from paying women living in Canada to gestate, give birth, and surrender children to foreign nationals. Further research is necessary to quantify the scope and implications of birth tourism and international gestational preconception arrangements and to determine whether these implications justify amendment to current legislation.

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)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0010.002
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 head0.026
GPT teacher head0.289
Teacher spread0.263 · 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

Citations4
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Public PolicySame topicDemographic Trends and Gender PreferencesFrench-language works237,207