MétaCan
Menu
Back to cohort

Corporate Social Responsibility and Government

2010· book-chapter· en· W290935236 on OpenAlexaff
Jeremy Moon, Nahee Kang, Jean‐Pascal Gond

Bibliographic record

VenueOxford University Press eBooks · 2010
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsHEC Montréal
FundersEconomic and Social Research Council
KeywordsCorporate social responsibilityGovernment (linguistics)Corporate governanceContext (archaeology)CapitalismPoliticsPolitical scienceRelation (database)State (computer science)Political economyEconomyEconomic systemSociologyPublic relationsEconomicsManagementGeographyLaw

Abstract

fetched live from OpenAlex

Abstract This article is about corporate social responsibility (CSR) and aims to distinguish different types of CSR–government relationship and to understand these in the context of broader state roles and government–business relations. It investigates these relationships comparatively, historically, and in terms of new institutionalism. It does so comparatively by investigating CSR and government in four types of political system on the assumption that CSR reflects features of respective national business systems, or varieties of capitalism, in which government roles are critical. Thus it considers CSR in the USA, in Europe, in the transitional economies of East Asia, Eastern Europe, and South Africa, and globally. The article's special focus on the USA is justified because, although business responsibilities have long existed throughout the world, in America the concept of CSR emerged as a basis for reflection on its relation to the wider purpose of the firm in the context of institutions of governance.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.040
GPT teacher head0.209
Teacher spread0.169 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations31
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicCorporate Social Responsibility ReportingFrench-language works237,207