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Record W3167963538 · doi:10.1108/srj-04-2020-0117

Gender identities and corporate social responsibility practices: a biographical approach of managerial recompositions in SMEs context

2021· article· en· W3167963538 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

VenueSocial Responsibility Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsOriginalityCorporate social responsibilityValue (mathematics)Identity (music)Context (archaeology)SociologySocial identity theoryPerspective (graphical)Qualitative researchPublic relationsSocial groupPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to question gender identities as the basis for a differentialist conception of how to conceive and practice corporate social responsibility (CSR). Design/methodology/approach This study has used a qualitative approach to study five paths of small and medium-sized entreprises (SMEs) female entrepreneurs. This study selected female entrepreneurs who can bring us rich material, which highlights the relationship between the concepts of gender identity and CSR practices. In this perspective, this study has retained five “revealing” cases. Findings By establishing a break with the ontological experience that contributes to the application of CSR practices as a natural expression of behaviour, this study shows how social relations of sex reproduce but also how social relations are subverted with respect to the requirements relating to CSR practices. Originality/value The main originality of this approach consisted in adopting the concept of “gender inversion”, characteristic of “gender mobility”, to identify the potential and/or effective observable recompositions in the field of managerial behaviours.

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)0.011
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.239
GPT teacher head0.372
Teacher spread0.133 · 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