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Record W3154758471 · doi:10.3138/jcfs.52.1.006

Indirect Strategies for Disclosing the Genetic/Gestational Origins of Children Conceived by Means of Reproductive Donation (Spain)

2021· article· en· W3154758471 on OpenAlexvenueno aff
María Isabel Jociles Rubio, Fernando Lores, Nancy Anne Konvalinka

Bibliographic record

VenueJournal of Comparative Family Studies · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDyadIntervention (counseling)DonationPsychologyDevelopmental psychologySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article is based on ethnographic research carried out in Spain, with families who have conceived their children using third-party intervention. It focuses on an aspect of these parents’ strategies regarding disclosure (or non-disclosure) of their children’s origins which has received very little attention in the research in this field: the indirect strategies implemented in contexts beyond the parents-children dyad. The parents use these strategies to establish an environment in which the child can create an image of her or himself as normal and non-exceptional, for which they intervene in their social networks mainly by controlling the information circulating through them and that, therefore, can reach the child. Three main contexts in which the parents implement these strategies have been identified: the extended family, the school, and family associations. The analysis of disclosure (or non-disclosure) strategies in these contexts provides some suggestions to improve professional intervention in this area.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.407
Threshold uncertainty score0.355

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.102
GPT teacher head0.396
Teacher spread0.293 · 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 teacher head, 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

Citations4
Published2021
Admission routes1
Has abstractyes

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