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Record W1028857177 · doi:10.5206/fpq/2015.1.5

Gestation and Parental Rights: Why is Good Enough Good Enough?

2015· article· en· W1028857177 on OpenAlexvenueno aff
Lindsey Porter

Bibliographic record

VenueFeminist Philosophy Quarterly · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyGestationBondPregnancyLabour economicsEconomicsLawPolitical scienceBiologyGenetics

Abstract

fetched live from OpenAlex

In this paper I explore the question of whether gestation can ground parental rights. I consider Anca Gheaus’s (2012) claim that the labour and bonding of gestation give one the right to parent one’s biological child. I argue that, while Gheaus’s gestational account of parental rights is the most successful of such accounts in the literature, it is ultimately unsuccessful, because the concept ‘maternal-fetal bonding’ does not stand up to scrutiny. Gheaus argues that the labour expended in gestation generates parental rights. This is a standard, Lockean sort of a move in parental ethics—it usually relies on the claim that I have proprietary rights over the products of my labour. However, Gheaus argues that a standard labour account of parental rights could not generate parental rights over one’s own birth child via gestation without ownership, since the labour would merely afford one a right to enjoy the goods of parenthood. At best, then, labour alone would generate a right to a child. But, Gheaus argues, not only do gestational mothers expend labour in the course of the pregnancy; they also develop emotional ties to the fetus. They ‘bond’ with it. This, Gheaus argues, coupled with labour, gives the birth mother parental rights over her birth child. Fathers, on her account, acquire rights over their birth child by contributing labour—in the form of antenatal support—during the course of the pregnancy. I argue that because ‘bonding’ is not an appropriately morally salient phenomenon, Gheaus’s account does not work unless it relies on a proprietary claim, and this is prima facie reason to reject the account. Further, the fact that it only confers parental rights on fathers by proxy also gives us reason to reject the account. I then offer a brief sketch of a more promising, positive account of parental 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.040
GPT teacher head0.297
Teacher spread0.257 · 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 designTheoretical or conceptual
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

Citations17
Published2015
Admission routes1
Has abstractyes

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