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Record W4225397920 · doi:10.1177/00207152221094252

Individual responsibility or trust in the state: A comparison of surrogates’ legal consciousness

2022· article· en· W4225397920 on OpenAlexvenueno aff
Elly Teman, Zsuzsa Berend

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationIndividualismAccountabilityState (computer science)PersonhoodGovernment (linguistics)Moral responsibilityPolitical scienceSociologyConsciousnessLaw and economicsLawPublic relationsPsychology

Abstract

fetched live from OpenAlex

Drawing on ethnographic research in the United States and Israel, two countries that have long-term experience with surrogacy, we compare surrogates’ understanding of, approaches to, and expectations about regulation. Women who become surrogates in these two countries hold opposite views about regulation. US surrogates formulate their rejection of standardized regulation—including standardized screening and contracts—by emphasizing their own responsibility for the legal, relational, and medical aspects of surrogate pregnancy. They want more oversight of fertility clinics and surrogacy agencies but ultimately argue for individual accountability. Israeli surrogates, conversely, support centralized government regulation of the practice and even defend Israel’s centralized regulation of surrogacy; many advocate for the extension of the law and the state to assume more responsibility for these arrangements. We discuss these differing formations of legal consciousness in terms of Engel’s conceptualization of “individualism emphasizing personal responsibility” versus “rights-oriented individualism.”

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.108
GPT teacher head0.450
Teacher spread0.342 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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