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Record W7067710019

Negotiating âGastro-anomieâ: Exploring the Relationship Between Food, the Body & Identity in Halifax, Nova Scotia

2014· other· en· W7067710019 on OpenAlexvenueaboutno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2014
Typeother
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaContext (archaeology)NegotiationIdentity (music)Meaning (existential)Consumption (sociology)Food consumptionQualitative researchLived experience
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores the relationship between food and identity. Drawing on the concept of ‘gastro-anomie’, or ‘food normlessness’, it asks how individuals’ make sense of food and eating in the context of an increasingly globalised and complex food economy. Through a series of in-depth, semi-structured interviews with a small number of individuals living in Halifax, Nova Scotia, the thesis outlines participants’ everyday attitudes toward food and eating practices. It concludes that individuals actively seek out and ultimately find meaning through their food consumption practices. Consciously aware of the problems associated with the global food economy, the participants in this study used their food choices as a way to reflexively carve out their identities. Their bodies provided a powerful medium through which they engaged in these efforts.

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)0.002
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 score0.078
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.011
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.200
Teacher spread0.179 · 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
Published2014
Admission routes2
Has abstractyes

Explore more

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