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Record W7000370636

Examining History, Design, and Pedagogy through the Eat, Waste, Make Project: A Feminist New Materialism Exploration of Canadian Food-based Waste

2023· dissertation· en· W7000370636 on OpenAlexfundaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2023
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsnot available
FundersConcordia University
KeywordsPraxisMaterialismCritical pedagogyFeminismPublicsConsumption (sociology)Critical theoryFood wasteTransformative learningRelation (database)Historical materialism
DOInot available

Abstract

fetched live from OpenAlex

This dissertation uses a critical design praxis to explore domestic waste practices and their link to food consumption in the Canadian context. Employing feminist new materialism discourse, which challenges nature-culture divisions and human-nonhuman distinctions, I examine waste through a broad lens covering living and non-living entities. This involves three main approaches: analyzing design and pedagogy history in Canadian archives; studying the experiences of three Canadian women raised in the 1950s; and reflecting on the “Eat, Waste, Make” project, an iterative series of public pedagogy workshops designed to engage diverse food publics with food waste. The historical investigation targets key points in design and pedagogy that contributed to household waste, especially in the post-World War II era (1950s-1970s). Cultural shifts during this time promoted immediate disposal over salvage practices. I highlight the life histories of three women to whom I am related, in relation to food and waste in order to challenge archival discourses and highlight the role of everyday pedagogies. For the “Eat, Waste, Make” project I describe and reflect on the evolution of the workshops, and explain the incorporation of critical design and public pedagogy practices in the workshop series. This research contributes to interdisciplinary understandings of food waste practices, revealing gender dynamics, materiality, and patterns of consumption. Through historical analysis, personal narratives, and creative interventions, this study sheds light on the complex human-waste-materiality relationship in food consumption.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.134
GPT teacher head0.296
Teacher spread0.161 · 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 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
Published2023
Admission routes2
Has abstractyes

Explore more

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