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Record W4214538537 · doi:10.1080/02255189.2022.2029735

Encounters of law, governance and development and the question of form

2022· article· en· W4214538537 on OpenAlexafffundvenue
Siobhán Airey, Mark Toufayan

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsUniversité du Québec en Outaouais
FundersUniversity of WaterlooIrish Research CouncilUniversity of OttawaIntelligence Community Postdoctoral Research Fellowship ProgramMultiple Sclerosis Center of Atlanta
KeywordsCorporate governanceLawPolitical scienceLaw and economicsEpistemologySociologyPhilosophyEconomicsManagement

Abstract

fetched live from OpenAlex

Laws and institutions are ubiquitous in and transformative of development in ways that do not frequently present as commonly understood ‘law’, or are not foregrounded as such in development interventions. This article highlights fresh thinking from critical scholars that disrupts prevailing approaches to law and legality in development, in legal and in international development studies scholarship alike. Through the concepts of the ‘form to law’ and ‘forming of law’ in development, and the metaphor of the kaleidoscope, it offers one approach to analysing encounters within and between laws and the governance of development as a critical and reflexive project of disciplinary hiatus.

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 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)0.004
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 score0.852
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.043
GPT teacher head0.262
Teacher spread0.219 · 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 teacher head, not a consensus.

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

Citations1
Published2022
Admission routes3
Has abstractyes

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