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Record W2011054192 · doi:10.1177/0309132510385523

Development geography

2010· article· en· W2011054192 on OpenAlexaff
Rachel Silvey, Katharine N. Rankin

Bibliographic record

VenueProgress in Human Geography · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScholarshipSociologyPoliticsCorporate governanceSustenanceDevelopment studiesField (mathematics)Framing (construction)Political economyPolitical scienceSocial scienceLawGeography

Abstract

fetched live from OpenAlex

This article offers a selective slice into the wide-ranging scholarship in critical development studies. It reaches outside of ‘development studies’ proper to explore points of intersection and complementarity with cognate fields, and identifies promising directions for future inquiry, analysis, and practice. It attends in particular to the political geographic imaginaries that frame contestations over the 2010 G20 Summit. These struggles represented both the extremes of anti-democratic neoliberal governance, as well as diverse and creative tactics aimed at building alternative alliances and social movements. The strength of recent critical development studies lies in its capacity to connect analysis of the violence and exclusion characteristic of both old and new imperialist geographies with practical and normative commitments to the creation and sustenance of spaces of political possibility. In making this call, we seek to expand the conversations of critical development scholars by paying particular attention not only to senior scholars in the field, but also to some important new research by emerging scholars.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0730.011

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 head0.015
GPT teacher head0.297
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

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 designNot applicable
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

Citations37
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueProgress in Human GeographySame topicTourism, Volunteerism, and DevelopmentFrench-language works237,207