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Record W2084431416 · doi:10.1111/beer.12087

The financial benefits of a firm's affiliation with the <scp>UN G</scp>lobal <scp>C</scp>ompact

2014· article· en· W2084431416 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 Ethics A European Review · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsContext (archaeology)Sample (material)BusinessCapital (architecture)Enterprise valueValue (mathematics)Capital marketMonetary economicsEconomicsFinanceComputer scienceGeography

Abstract

fetched live from OpenAlex

Since it was first introduced 13 years ago in 2000, the UN G lobal C ompact has become the world's largest voluntary corporate responsibility initiative. The benefits for companies that have voluntarily affiliated with the UN G lobal C ompact have been little documented from an empirical perspective, especially regarding the integration of this information by capital markets. This study attempts to address this question, drawing on a sample of French companies listed on the SBF 250 index. Results suggest that, within the French context at least, investors significantly value a firm's affiliation with the UN G lobal C ompact. In addition, the firms affiliated are those that appear to present the least risk.

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.034
GPT teacher head0.229
Teacher spread0.196 · 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