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Record W7030245434

Multiscalar Toxicities: Mapping Environmental Injustice in and Beyond the Nail Salon

2021· other· en· W7030245434 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSalonHarmNail (fastener)ScholarshipVulnerability (computing)Agency (philosophy)Precarious workParticipant observation
DOInot available

Abstract

fetched live from OpenAlex

The dissertation attends to the entanglement of toxicities at multiple temporal and spatial scales from bodies to workplaces to homes to communities as well as across generations. This work centers the nail salon a site of potential environmental and occupational health harms due to routine exposure to toxicants, labour exploitation, and verbal and other abuses. These hazards are rooted in structural inequities that position immigrant-settler women of colour in precarious and dangerous work environments as well as have broader roots in global structures of extraction. The dissertation employs multiple methods grounded in feminist methodologies, centering the experiential and embodied knowledges of 37 Toronto-based nail technicians through occupational health mapping – a worker-centered visual method that maps workplace hazards and potential solutions. While there is growing scholarship on occupational harm in the nail salon context, this work differs in that it positions the nail salon in relation to broader structural violences. This is in contrast to framings of harm that are body-bound, body-centric, or a result of our individual "choices." \n \nThis analysis reveals that dangerous workplace conditions – rooted in the racialized and gendered manifestations of capitalist exploitation – are embedded in/on workers' bodies and impact their abilities to enact relations of care with kin. The toxicants that harm nail technicians health find their material and symbolic roots in the colonial, gendered, and environmental violence of petroleum extraction and petrochemical production. These processes manifest corporeal-level and community-wide intergenerational harm. To approach and link these multiple scales of violence, this work puts forth an expanded conception of environmental justice (EJ) – one that conceptually and methodologically rejects the politics of borders, such as between bodies, work, and home; between those deemed "unwelcome" and those welcomed, and; between nodes in the commodity chain. Following Pellow's (2018) Critical Environmental Justice approach, to limit manifestations of environmental racism, sexism, and violence to certain "sacrifice zones" conceals the extent and reach of the violence; it perpetuates erasure. Embodied and local manifestations of harm in the nail salon are one node in a broad and interrelated web of gendered violences fueled by extractive logics. While centering workers' voices and the nail salon environment, this dissertation traces the interrelations of different spatial and temporal scales of violence, demonstrating that environmental harms are expansive, interconnected, and warrant broadened solidarities. As violence is multiscalar, so is resistance. While liberal environmental health campaigns tout body-centric "solutions," nail technicians' resistance to racial and gendered manifestations of capitalist exploitation occur at multiple scales – the molecular, the interpersonal, and the collective. To look beyond the nail salon demands broadened relations of solidarity – ones that transcend both space and time.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.145
Teacher spread0.137 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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