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Record W2892377401 · doi:10.1111/beer.12189

The (missing) subjects of research on gender and global governance: Toward inquiry into the ruling relations of development

2018· article· en· W2892377401 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

VenueBusiness Ethics A European Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCorporate governanceScholarshipPolitical scienceSociologyEthnographyPublic relationsManagementEconomics

Abstract

fetched live from OpenAlex

Abstract Responding to the Special Issue's call for “new thinking” on gender and governance in developing societies, we introduce our research on the social organization of development knowledge and its ethical implications. Our feminist‐based approach, institutional ethnography, analyses the ruling relations of development and the standpoints represented in knowledge about development and its governance. Our paper offers an alternative to what we see as “the institutional standpoint” prevailing, but taken for granted, in business and society scholarship addressing development. Instead of theorizing development relationships between institutions and their “stakeholders,” we illustrate what can be learned about the social relations of development beginning from the experiences of local subjects. Our analysis of an environmental research and development project in Uzbekistan shows that being missed is knowledge about development subjects that could have revealed what is locally relevant and needed. Instead, we discover gender inequality being constituted, unknowingly, within this project's institutionally generated knowledge and the activities it authorizes.

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)0.014
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.246
GPT teacher head0.437
Teacher spread0.192 · 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