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Record W3090954375 · doi:10.1177/0169796x20948002

Introduction: Journal of Developing Societies’ Special Issue on Corporate Social Responsibility

2020· article· en· W3090954375 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

VenueJournal of Developing Societies · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCorporate social responsibilityGlobalizationSustainabilityHarmonizationEnforcementPolitical scienceSocial responsibilityTransparency (behavior)ImmigrationAuditBusinessPublic relationsPublic administrationEconomic growthAccountingEconomicsLaw

Abstract

fetched live from OpenAlex

In the introduction to this special issue, we point to the large-scale failure of existing corporate social responsibility systems to address ongoing global environmental and labor standards issues. Competing codes, absent harmonization, conflicted and limited auditing and transparency, and an almost complete lack of enforcement mean that the considerable efforts by corporations and their partner international organizations, consultants, and NGOs have not led to any objectively measurable improvements in outcomes. If anything, ongoing labor and environmental disasters and conflicts threaten to undermine the positive intentions and resources dedicated to improving conditions for workers in the South as reflected in anti-immigrant and anti-globalization populist outbreaks in the North. This volume offers a series of ideas about how to begin to reform the system to move towards sustainability and decency in environmental and labor conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.035
GPT teacher head0.244
Teacher spread0.208 · 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