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Developmentalities and Calculative Practices: The Millennium Development Goals

2010· article· en· W2019838837 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
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGovernmentalityMillennium Development GoalsGovernment (linguistics)SociologyField (mathematics)International developmentPolitical sciencePublic administrationEconomic growthPublic relationsEconomicsDeveloping countryPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract: This paper focuses on wide‐ranging governmental discourses that enable new ways of shaping social and economic affairs in the field of development. Directing particular attention to the Millennium Development Goals, we refer to these discourses as developmentalities. As a form of governmentality produced through these Goals, developmentalities draw on the turn of the century to recast certain development problems and offer reformulated solutions to these problems. We argue that they rely on three forms of neoliberal rationalities of government—information profiling, responsibilization, and knowledge networks, and their calculative practices, to shape global spaces and new capacities for individuals and social groups. Our analysis is based on extensive policy documents, reports, and development initiatives affiliated with the United Nations and other organizations, as well as insights derived from in‐depth interviews and conversations with United Nations policy and research personnel from the Food and Agricultural Organization (FAO) and the United Nations Educational, Scientific, and Cultural Organization (UNESCO).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.321
Teacher spread0.293 · 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