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Record W4399355798 · doi:10.28968/cftt.v10i2.41259

Book Review | Discard Studies: Wasting, Systems, and Power, by Max Liboiron and Josh Lepawsky (MIT Press, 2022)

2024· article· en· W4399355798 on OpenAlex
Natalia Espinel-Quintero

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCatalyst Feminism Theory Technoscience · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsConcordia University
Fundersnot available
KeywordsWastingPower (physics)EconomicsMedicinePhysicsInternal medicineThermodynamics

Abstract

fetched live from OpenAlex

Max Liboiron and Josh Lepawsky start their latest book, Discard Studies: Wasting, Systems, and Power (2022), with an ordinary object that, though seemingly familiar, carries with it a web of invisible and unspoken relations.By exploring the toxic entanglements behind a discarded cash register receipt, Liboiron and Lepawsky take an unexpected path to ask how objects, people, communities, materials, and practices become valued or disposable.Throughout the book, the authors show how wasting is a technique of power and address the role of discarding in the construction and preservation of dominant structures.Discard studies emerged in 2010 as an interdisciplinary field of research initiated by Robin Nagle, founder of the Discard Studies online hub.Scholars in this field look at the why, what, where, and how of waste, and ask questions about the systems that shape and render things disposable.Even though Liboiron and Lepawsky state that they do not seek to provide an overview of the field, those unfamiliar with the discipline might find that the book offers a good introduction to it.In fact, through the introductory chapter the authors discuss some key discard studies concepts and present four methods used by discard studies scholars to debunk common myths about waste-namely, defamiliarization, denaturalization, decentering, and depurifying.Although these methods are often used to think about waste and trash, the authors show, through the theories expounded in subsequent chapters, that it is possible to use these approaches to think more widely about power, inequality, and justice.In chapter two, the authors lay out a theory of scale, discussing the unevenness in relationships within systems and defining scale as "relationships that matter" (45).Using a situated perspective to think about these relationships might help us

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.322
Teacher spread0.304 · 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