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Record W1485874610

Corporate social responsibility as an institution of public-private partnership and efficient regional economic and social policy

2007· article· en· W1485874610 on OpenAlexaboutno aff
S.V. Bratyushchenko, В. Е. Селиверстов

Bibliographic record

VenueJournal Region: Economics and Sociology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityGeneral partnershipSocial PartnershipBusinessSustainable developmentInstitutionSocial responsibilityPopulationBalance (ability)Economic growthPublic relationsPublic administrationPolitical scienceEconomicsSociologyFinance
DOInot available

Abstract

fetched live from OpenAlex

The paper presents a theoretical analysis of a corporate social responsibility concept (CSR), its gist, types, levels and forms of its implementation. Realizing their own interests, corporations may contribute to the community’s development or may inflict environmental damage undermining the stability of community’s economies. This depends on the model of relations between corporations and local communities. The authors discuss the approaches to the implementation of Canada-Russia Program on CSR which could contribute to the development of social responsibility of business in Russia and in northern regions especially. The Program is aimed at supporting the sustainable development in the Russian North and the better life of population through sharing the contemporary principles of CSR developed and applied in Canada. The program focuses on maintaining balance between companies’ interests and a wide spectrum of public interests.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.131
GPT teacher head0.367
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2007
Admission routes1
Has abstractyes

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