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Record W4395695118 · doi:10.1177/00187267241247647

Contesting social responsibilities of business: Centring context, experience, and relationality

2024· article· en· W4395695118 on OpenAlex
Premilla D’Cruz, Nolywé Delannon, Arno Kourula, Lauren McCarthy, Jeremy Moon, Laura J. Spence

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 Relations · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCentringSociologyContext (archaeology)Perspective (graphical)Grounded theoryPublic relationsSocial sciencePolitical scienceQualitative researchEngineering

Abstract

fetched live from OpenAlex

This introduction, and the special issue on ‘Contesting social responsibilities of business: Experiences in context’ it frames, addresses the neglected question of the experience of contestation in the terrain of the social responsibilities of business. It re-conceptualises the social responsibilities of business by advancing research grounded in a relational perspective, exploring and highlighting different forms of contestation of these social responsibilities, and centring the role of context by focusing especially on contestation in overlooked geographical settings and sites of marginalisation. Contextualising contestation in this way centres silenced and/or ignored voices, generates meaningful theory, and offers an innovative critical lens on business–society relations.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.266
Teacher spread0.223 · 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