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Record W4237780924 · doi:10.24124/2013/bpgub913

Canada's Position on Corporate Social Responsibility in a Developing Country Context.

2013· dissertation· en· W4237780924 on OpenAlexaboutno aff
Stephanie Ameyaw

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityPosition (finance)Context (archaeology)ShareholderSustainable developmentPolitical scienceGovernment (linguistics)BusinessPublic relationsAccountingCorporate governanceGeographyFinance

Abstract

fetched live from OpenAlex

This research addressed uncertainties around corporate social responsibility (CSR) and its ability to deliver sustainable development. Taking a Canadian focus, this thesis provides a theoretical framework for synthesizing and analyzing key aspects of the CSR literature. Further, an analysis of the discourse on CSR is presented, highlighting the differences between the Canadian federal government's CSR position from that of the positions of identified international development agencies. An analysis of the discourse and practice of CSR is offered through the evaluation of two Canadian corporations operating in developing countries. As the findings illustrate, the societal position on CSR is the ideal CSR position to promote development, with the shareholder position being the least suitable. As the Canadian position on CSR was revealed to be shareholder oriented, changes in the design, motivation and practice of CSR are needed for Canada's CSR agenda to adopt the more development compatible CSR position. --Leaf ii.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.122
Threshold uncertainty score0.884

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.007
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.030
GPT teacher head0.263
Teacher spread0.233 · 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 designNot applicable
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

Citations0
Published2013
Admission routes1
Has abstractyes

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