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Record W2521995580

Waste Away: Working and Living with a North American Landfill

2015· book· en· W2521995580 on OpenAlexaboutno aff
Joshua O. Reno

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsWaste managementGeographyEnvironmental scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

"Though we are the most wasteful people in the history of the world, very few of us know what becomes of our waste. In Waste Away, Joshua O. Reno reveals how North Americans have been shaped by their preferred means of disposal: sanitary landfill. Based on the author's fieldwork as a common laborer at a large, transnational landfill on the outskirts of Detroit, the book argues that waste management helps our possessions and dwellings to last by removing the transient materials they shed and sending them elsewhere. Ethnography conducted with waste workers shows how they conceal and contain other people's wastes, all while negotiating the filth of their occupation, holding on to middle-class aspirations, and occasionally scavenging worthwhile stuff from the trash. Waste Away also traces the circumstances that led one community to host two landfills and made Michigan a leading importer of foreign waste. Focusing on local activists opposed to the transnational waste trade with Canada, the book's ethnography analyzes their attempts to politicize the removal of waste out of sight that many take for granted. Documenting these different ways of relating to the management of North American rubbish, Waste Away demonstrates how the landfills we create remake us in turn, often behind our backs and beneath our notice"--Provided by publisher

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.736
Threshold uncertainty score0.807

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)0.0000.000

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 head0.026
GPT teacher head0.273
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations18
Published2015
Admission routes1
Has abstractyes

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