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To Make Live or Let Die? Rural Dispossession and the Protection of Surplus Populations

2010· article· en· W2115251359 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

VenueAntipode · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiopowerCapital (architecture)PopulationRural populationEconomic growthSociologyDevelopment economicsEconomicsPolitical sciencePolitical economyGeographyLawPolitics

Abstract

fetched live from OpenAlex

Abstract: A biopolitics of the population, when it succeeds in securing life and wellbeing, is surely worth having. It has become urgent in rural Asia, where a new round of enclosures has dispossessed large numbers of people from access to land as a way to sustain their own lives, and neoliberal policies have curtailed programs that once helped to sustain rural populations. At the same time, new jobs in manufacturing have not emerged to absorb this population. They are thus “surplus” to the needs of capital, and not plausibly described as a labour reserve. Who, then, would act to keep these people alive, and why would they act? I examine this question by contrasting a conjuncture in India, where a make live program has been assembled under the rubric of the “right to food”, and Indonesia, where the massacre of the organized left in 1965 has left dispossessed populations radically exposed.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.987

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 studies0.0000.000
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 head0.020
GPT teacher head0.303
Teacher spread0.282 · 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