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Record W2508531340 · doi:10.1177/0263775816664100

‘The planet that rules our destiny’: Alternative development and environmental power in occupied Afghanistan

2016· article· en· W2508531340 on OpenAlexaff
Wesley Attewell

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIncentivePopulationAgency (philosophy)Sustainable developmentEconomic growthPolitical scienceEconomicsSociologyMarket economyLaw

Abstract

fetched live from OpenAlex

In this article, I explore the role that the United States Agency for International Development and its implementing partners played in the ‘alternative development’ effort to provide Afghan farmers with sustainable and economically viable alternatives to growing poppy. I argue that alternative development programs in occupied Afghanistan sought to wean farmers off of poppies by creating a rural ‘environment’ conducive to the cultivation of legal alternative crops. My argument proceeds in four steps. First, I theorize alternative development as a form of ‘environmental power’. Second, I put this theoretical framework to work in eastern Afghanistan through a close reading of one of the United States Agency for International Development’s flagship alternative development projects: Development Alternative Inc.’s ‘Incentives Driving Economic Alternatives – North, East and West’. As Incentives Driving Economic Alternatives: North, East and West (IDEA-NEW) ran its course, its end-state goal shifted from improving production to promoting market exchange. Third, I suggest that IDEA-NEW’s marketization efforts produced differentiated subjects of rule, exacerbating already existing patterns of uneven development in the process. Finally, although IDEA-NEW is represented as productive, humanitarian and therapeutic, I conclude by reflecting on how it is undergirded by – and also provides a legitimating armature for – techniques of population management that are destructive of life.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.034
Scholarly communication0.0070.006
Open science0.0000.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.250
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2016
Admission routes1
Has abstractyes

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