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Record W7037654943

Forms and Norms Matters Manufacturing Firms Corporate Social Responsibility /CSR/ Practices in East Gojjam Zone, Ethiopia

2020· article· en· W7037654943 on OpenAlexaboutno aff

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFossil Insects in Amber
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityRespondentSocial responsibilityCorporate governanceSympathyStakeholderDilemmaEthical code
DOInot available

Abstract

fetched live from OpenAlex

Ethiopia is one of the developing countries where the philosophy of corporate social responsibility is not well developed and also the governance system takes the form of mere control and decision making rather than encouraging development and implementation of a well-developed ethical code of conduct in the four spectrums. The main purpose of the study is focuses on to assessing forms and norms of manufacturing firm CSR practice in East Gojjam Zone. The study has realized in 13 higher manufacturing firms and 253 respondent stakeholders from the surrounding have been taken through descriptive study design. Primarily Questionnaire, interview, observation have used. Data have been analyzed by descriptive statistical tools by apply SPSS package. The results had shown us that there are no accepted forms and norms in external environment, Social and economy /context on the way organizations CSR operations in east Gojjam zone. Hence, the sympathy to the forms and norms of social responsibility in our case is still in its infant stage. The dilemma between the global standards and the local practices towards implementing CSR haven’t been balanced. Generally, the study recommends that Prospectors & Developers Association of Canada (2009) management system structure and requirements e-toolkit must be applied. Keywords : CSR, UN, Practices and East Gojjam Zones DOI: 10.7176/EJBM/12-10-02 Publication date: April 30 th 2020

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.143
GPT teacher head0.321
Teacher spread0.178 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2020
Admission routes1
Has abstractyes

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