MétaCan
Menu
Back to cohort
Record W2767765222 · doi:10.1177/2043820617736602

Politics of devaluation

2017· article· en· W2767765222 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.

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

Bibliographic record

VenueDialogues in Human Geography · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of British ColumbiaConcordia University
Fundersnot available
KeywordsValue (mathematics)DevaluationPoliticsPatriarchySociologyRealmAppealCommodityPositive economicsEconomicsGender studiesPolitical scienceCurrencyLawMarket economy

Abstract

fetched live from OpenAlex

As Kay and Kenney-Lazar show, the concept of value holds appeal for political ecologists who seek to demystify and politicize the socio-ecological relations underpinning capitalist productions of nature. But there are challenges to using value to understand capitalist natures. Much of nature is not priced, and no nature labours for a wage. This makes the labour theory of value, which tends to be prominent even in discussions of a broadly defined value, difficult to apply to nature. Having wrangled with this ourselves, we turn (as Kay and Kenney-Lazar do) to feminist political economists, who have long theorized the unwaged realm within capitalist social relations. We find that these feminists, while not unconcerned with value, are instead often set on understanding how some work is persistently devalued, or denigrated, seen as worthless – which leads them to centre patriarchy in their analyses. Building from this, we suggest the need to centre anthropocentrism – to historicize and denaturalize devaluations of nature – within work on value and capitalist natures.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.071
GPT teacher head0.384
Teacher spread0.313 · 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