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Record W4417311503 · doi:10.1111/1467-9566.70135

Constrained Choices: Navigating Agency and Social Structures in Sperm Donor Selection

2025· article· en· W4417311503 on OpenAlexafffundabout
Sabrina Zeghiche, Isabel Côté, Kévin Lavoie

Bibliographic record

VenueSociology of Health & Illness · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité LavalUniversité du Québec en Outaouais
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAgency (philosophy)Sperm donationNormativeKinshipStructure and agencyInterpersonal communicationSelection (genetic algorithm)Identity (music)Qualitative researchSituated

Abstract

fetched live from OpenAlex

This study examines how intended parents in Canada navigate the process of sperm donor selection under institutional, interpersonal and material constraints. Drawing on qualitative interviews with parents (N = 40) from diverse family configurations (heteroparental, lesboparental and soloparental), it explores how donor selection is not a purely autonomous decision but a negotiated practice shaped by regulatory ambiguity, limited donor availability, emotional investments and intracouple dynamics. Grounded in negotiated order theory, the analysis emphasises the provisional, iterative nature of decision-making within fertility clinics and donor databases-understood as intersecting social worlds within a broader reproductive arena. Findings show that initial parental preferences (e.g., donor resemblance, identity disclosure and medical history) are shaped by normative kinship ideals and are often compromised over time due to structural constraints or evolving priorities. This study contributes to the sociology of health and illness by reconceptualising donor selection as a situated negotiation, where choice is exercised relationally and within unequal institutional landscapes. It also identifies avenues for future research and policy reform, including clearer clinical guidance, improved access to donor information and stronger alignment with donor-conceived persons' rights.

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)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.929

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.021
Scholarly communication0.0060.003
Open science0.0010.006
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 head0.024
GPT teacher head0.373
Teacher spread0.349 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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