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Record W1601516191 · doi:10.22329/p.v8i2.4094

Eat or Be Eaten: A Feminist Phenomenology of Women as Food

2013· article· en· W1601516191 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePhaenEx · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsCreaturesPhenomenology (philosophy)SociologyNon-humanPredatorEnvironmental ethicsPredationAestheticsEcologyHistoryEpistemologyArtBiologyPhilosophy

Abstract

fetched live from OpenAlex

This paper focuses around women in the food chain, not in terms of agriculture and development, but as food ourselves. I start from the work of Eva-Maria Simms and Val Plumwood, who examine being eaten by non-human animals, and by human infants and fetuses. I use Simms’s and Plumwood’s examples to argue that in viewing our human selves as edible creatures, we not only distance ourselves from the role of "eater" in the masculinist domination framework but reject and break down the very dichotomy of eater/eaten, predator/prey, diner/dinner. Through the work of Maurice-Merleau Ponty, I argue that our being edible is the obverse of our being consumers: it is this fact which is proven or fulfilled when the consumer is consumed. I then suggest that seeing ourselves as edible is both a call to a greater onto-ecological understanding and to a new understanding of the life/death/life cycle: as an asymmetrical yet symbiotic relationship between organic, decaying, and nourishing bodies.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.049
GPT teacher head0.338
Teacher spread0.288 · 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