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Corporate Social Responsibility as Perceived by Business People

2024· book-chapter· en· W4394632238 on OpenAlexaffabout
Xiayang Fu, Prosper Bernard, Rhodora G. Magan, Michel Plaisent, Gongzhao Liu

Bibliographic record

VenueAdvances in marketing, customer relationship management, and e-services book series · 2024
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCorporate social responsibilityBusinessPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Corporate social responsibility is a crucial part of organizational development. This chapter draws attention to the views, policies, and implementation of corporations in two very different countries, stressing a detailed comparison of the similarities and differences in the perception of social responsibility between companies in China and Canada. The growth of this corporate social responsibility in Canada has stabilized. The internal details of their social responsibility have been well developed and staff satisfaction remains high. Surprisingly, China is in advance on this issue despite being seen as a cultural economy with a tendency to be more unified, encouraged and supervised by the government brought to gradually become more aware of the social responsibility of people in business, which has become an invisible controlling force. Business people and other members of the public participate widely in their implementation, forming a controlling force.

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 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 score0.754
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.005
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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