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Record W2602558753 · doi:10.26522/ssj.v10i2.1470

Consuming Intimacies: Bodies, Labour, Care, and Social Justice - Guest Editors' Introduction

2016· article· en· W2602558753 on OpenAlexaffvenue
Andrea Doucet, Robyn Lee, Alana Cattapan, Lindsey McKay

Bibliographic record

VenueStudies in Social Justice · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsDalhousie UniversityUniversity of AlbertaBrock University
Fundersnot available
KeywordsSocial justiceSociologyEconomic JusticeCriminologyLaw and economicsLabour economicsEconomicsNeoclassical economics

Abstract

fetched live from OpenAlex

The lines between care, paid work, and consumption are increasingly blurring, both conceptually and in everyday practices.More and more people are paying others -often less advantaged persons -to perform personal, often deeply intimate labours that include caring for children, the elderly, and disabled persons; cleaning houses; acting as surrogates; and providing eggs, sperm, and breast milk to create and sustain families.In addition to the growing repertoire of intimate labours, the intimate exchange of body parts is also on the rise as bodily fluids, tissues, and organs are being transformed into consumer products through "body shopping" (Dickenson, 2008).These processes are simultaneously global and local, public and intimate, economic and affective, oppressive and empowering; they create new forms of intimacies but they also offer a great potential for exploitation and social injustice.The title of this special issue, Consuming Intimacies, has a double meaning.Intimacies are "consuming" in that many people care deeply about connecting with and caring for others, yet, increasingly, intimate labours and exchanges are commodified and treated as consumer products.Moreover, there are wide disparities between the geographical location, gender, race, and class of those who provide and those who receive intimate labours, as well as between those whose bodies are commodified and those who can afford to purchase organs, Consuming Intimacies: Bodies, Labour, Care & Social Justice Studies in Social Justice, Volume 10, Issue 2, 194-198, 2016 195 tissues, and fluids.This special issue is produced from a symposium of the same title that was held at Brock University in October 2015, which brought together 47 leading and emerging Canadian and international scholars and artists to present, debate, and explore a wide spectrum of 21 st century intimate labours and their associated economies.The symposium was supported by and connected to the social justice objectives of the Social Justice Research Institute at Brock University.The symposium and outreach activities explored a broad range of critical questions and social justice issues that have arisen from interconnected concepts and practices of intimate labours and exchanges, care, social reproduction, bodies, consumption, and commodification.Symposium participants examined correspondences and divergences between movements and transactions of care work and reproductive labour, on the one hand, and the exchange and sale of body tissues, fluids, and organs, on the other.They explored ways to protect vulnerable individuals and populations from exploitation by asking, for example, when, where, and why forms of intimate labours and exchanges are contentious (Hoeyer, 2013), exploitative (Dickenson, 2013), or "bioviolent" (Moniruzzaman, 2012), who they affect, and in what ways.The symposium featured three internationally renowned keynote speakers:

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.006
Scholarly communication0.0080.006
Open science0.0020.003
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0190.003

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 head0.044
GPT teacher head0.389
Teacher spread0.345 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations1
Published2016
Admission routes2
Has abstractyes

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