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Record W2967195385 · doi:10.5430/rwe.v10n3p26

Corporate Social Responsibility: Universities in the Kingdom of Bahrain

2019· article· en· W2967195385 on OpenAlexvenueno aff
Afaf Ahmed Tawash, Abdulmonem M. Al-Shirawi, Adel Sarea

Bibliographic record

VenueResearch in World Economy · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityCorporationBusinessTransparency (behavior)Public relationsDescriptive researchHuman resourcesMarketingPolitical scienceSociology

Abstract

fetched live from OpenAlex

Corporate Social Responsibility (CSR) has become very vital for any corporation as many voices demand that entities must be accountable for business decisions and actions. Since universities are vital entities in the society as they provide higher education to the human factor, they have a huge role that compels them to adhere to CSR and to make it a part of their strategic planning. The study is about measuring the awareness of CSR in the management of universities in the Kingdom of Bahrain. The study used a descriptive survey method to analyze the relationship between Communication, CSR activities and Management’s transparency with the level of awareness of CSR. The respondents of the study are the top and middle level managers of universities where the primary tool in gathering data was a structured questionnaire. Secondary sources were utilized as well, such as: books, articles, unpublished thesis and other printed resources related to the study that were used to support and strengthen the findings of the study. The main finding is, there is a significant relationship between CSR activities and communication with awareness of CSR.

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)0.014
metaresearch head score (Gemma)0.000
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 score0.161
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
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 head0.149
GPT teacher head0.350
Teacher spread0.201 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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