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Record W2897182671 · doi:10.1136/medethics-2017-104515

Reproductive outsourcing: an empirical ethics account of cross-border reproductive care in Canada

2018· article· en· W2897182671 on OpenAlexafffundabout
Vincent Couture, Régen Drouin, Jean‐Marie Moutquin, Patricia Monnier, Chantal Bouffard

Bibliographic record

VenueJournal of Medical Ethics · 2018
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsMcGill UniversityMcGill Genome CentreUniversité LavalUniversité de Sherbrooke
FundersFonds de Recherche du Québec - SantéFonds de Recherche du Québec-Société et Culture
KeywordsAutonomySolidarityQualitative researchResearch ethicsPublic relationsParticipant observationBeneficenceEconomic JusticeSociologyPolitical sciencePsychologyLawSocial science

Abstract

fetched live from OpenAlex

Cross-border reproductive care (CBRC) can be defined as the movement from one jurisdiction to another for medically assisted reproduction (MAR). CBRC raises many ethical concerns that have been addressed extensively. However, the conclusions are still based on scarce evidence even considering the global scale of CBRC. Empirical ethics appears as a way to foster this ethical reflection on CBRC while attuning it with the experiences of its main actors. To better understand the 'in and out' situation of CBRC in Canada, we conducted an ethnographic study taking a 'critically applied ethics' approach. This article presents a part of the findings of this research, obtained by data triangulation from qualitative analysis of pertinent literature, participant observation in two Canadian fertility clinics and 40 semidirected interviews. Based on participants' perceptions, four themes emerged: (1) inconsistencies of the Canadian legal framework; (2) autonomy and the necessity to resort to CBRC; (3) safety and the management of CBRC individual risks; and (4) justice and solidarity. The interaction between these four themes highlights the problematic of 'reproductive outsourcing' that characterised the Canadian situation, a system where the controversial aspects of MAR are knowingly pushed outside the borders.

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 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)0.014
metaresearch head score (Gemma)0.154
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.154
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.012
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 head0.104
GPT teacher head0.519
Teacher spread0.415 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2018
Admission routes3
Has abstractyes

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