MétaCan
Menu
Back to cohort
Record W4283754659 · doi:10.1177/19427786221107383

Industrialization in Odisha, India and the politics of scale: <i>International grievance mechanisms as spaces of engagement</i>

2022· article· en· W4283754659 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

VenueHuman Geography · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsYork University
Fundersnot available
KeywordsGrassrootsOpposition (politics)PoliticsIndustrialisationLiberalizationPolitical scienceGrievancePolitical economyDevelopment economicsEconomic growthSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

Despite its vast mineral wealth and tremendous industrial potential, the Indian state of Odisha remains under-industrialized after some two decades of aggressive liberalization reform. A particularly striking example of industrial failure concerns the POSCO-Odisha project. Abandoned in 2017 following fierce local opposition, it has since been revived under a new proprietorship, reigniting grassroots resistance. Using a relation of local dependence framework, the paper explores the role of scalar politics in conflict over land, dispossession, and development. The paper points to the practical implications, both for industry and grassroots movements, in resolving and overcoming such struggles.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.412

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 studies0.0000.000
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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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