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Record W3031699071 · doi:10.1080/24694452.2020.1752138

Abnormality as Accumulation Strategy: Orienting Embryos to Capital

2020· article· en· W3031699071 on OpenAlexaff
Juliane Collard

Bibliographic record

VenueAnnals of the American Association of Geographers · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCommodificationDehumanizationSociologyAbnormalityScholarshipSocial reproductionCapital (architecture)Social capitalPolitical scienceEconomicsSocial psychologyPsychologySocial scienceLawMarket economyHistory

Abstract

fetched live from OpenAlex

A long tradition of feminist and postcolonial scholarship has insisted on the centrality of social difference to regimes of capital accumulation. This article examines abnormality—one half of a binary categorization that evaluates bodies in relation to their success or failure in terms of health, productivity, and mental or physical capacity—as one such form of social difference. I examine the relationship between abnormality and capitalist value production from the vantage of the abnormal in vitro fertilization embryo. Although exceedingly difficult to commodify, abnormal embryos are multiply oriented to capital, caught up in circuits of value generation as living tools in the development of new (and promissory) biomedical knowledges, products, and profits. Abnormality, I argue, functions to smooth embryos’ entry into the tissue economy by severing their ties to full human life, potentiating new regimes of capital accumulation as it does so. Although emphatically different from the forms of dehumanization to which racialized, gendered, and colonial others are subject—not least because embryos are not full human life—abnormal embryos demonstrate, in very literal fashion, how the production of social difference operates to distribute life itself in ways that enable new accumulation strategies. This research is based on observations and interviews conducted at fertility clinics, scientific expos, embryo research labs, and reproductive medicine conferences in the United States between 2016 and 2018.

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)0.002
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 score0.035
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.072
GPT teacher head0.382
Teacher spread0.310 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

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