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Record W2169018636 · doi:10.1177/000765030003900404

A Brand New Brand of Corporate Social Performance

2000· article· en· W2169018636 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 & Society · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConceptualizationStakeholderAction (physics)Construct (python library)Field (mathematics)MarketingCorporate social responsibilityBusinessComputer sciencePublic relationsPolitical science

Abstract

fetched live from OpenAlex

We argue that corporate social performance (CSP) has become a legitimizing identity (brand) for researchers in the business and society field, but it has not developed into a viable theoretical or operational construct. Because measuring CSP is contingent on the operational setting (industry, issues, etc.), it is difficult to produce worthwhile comparisons across studies or generalizing beyond the boundaries of a specific study. The authors suggest that researchers remove the CSP label from their operational variables, and instead narrowly define their studies in operational terms. They provide aworking example of the proposed research direction by examining the theory underlying the popular CSP–financial performance (FP) debate. In the authors’ conceptualization, stakeholder action provides the underlying logic connecting CSP-FP, and we recast the research question to investigate the conditions under which stakeholders will take action to influence the focal organization and when those actions will influence the CSP-FP link.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.232
Teacher spread0.195 · 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