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Record W3091039029 · doi:10.1177/0169796x20962878

Developing State Capacity: The Missing Variable for Corporate Social Responsibility?

2020· article· en· W3091039029 on OpenAlexaff
Anil Hira

Bibliographic record

VenueJournal of Developing Societies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCorporate social responsibilityCivil societyCriticismState (computer science)Work (physics)Developing countryPolitical scienceBusinessGlobal governanceSocial responsibilityPolitical economyPublic relationsPublic administrationEconomicsEconomic growthLawPolitics

Abstract

fetched live from OpenAlex

The emergence of “corporate social responsibility” (CSR) among Western multinationals reflects doubts about governments in the South to regulate production as well as a vacuum of global regulatory capacity and authority. In response to criticism, media shaming, and protests from NGOs and civil society organizations centered around labor and environmental concerns, corporations began to organize a global public regime, as reflected in the Global Compact, in the 1990s. CSR is the focus of both national and global agreements, with companies starting to work with international organizations and NGOs in emerging CSR “mixed regimes.” Yet there are inherent contradictions in both CSR and mixed regimes, ones that can only be resolved by reasserting a more activist role for the developing state.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.038
Scholarly communication0.0110.022
Open science0.0010.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.158
GPT teacher head0.335
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2020
Admission routes1
Has abstractyes

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