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Record W2527515359 · doi:10.5539/jsd.v9n5p130

University Students' Perceptions of Social Responsibility Initiatives by Universities in Pakistan

2016· article· en· W2527515359 on OpenAlexvenueno aff
Imran Ali, Murad Ali

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityPerceptionSocial responsibilityPublic relationsPolitical scienceBusinessSociologyPsychology

Abstract

fetched live from OpenAlex

<p>Despite of all recent developments towards the concept of corporate social responsibility (CSR), its significance is still under-emphasized. The research community still realizes the importance of CSR for the uplifting social well being and reducing vulnerabilities by increasing natural disasters. Academic institutions can also play a very important role to promote the spirit of social responsibility among student – the future business leaders. The objective of this study is to measure university student’s perceptions and level of awareness towards socially responsible actions undertaken by universities in Pakistan. An exhaustive survey is conducted to collect data regarding student’s perceptions towards nature and level of CSR actions performed by universities in Pakistan. The result shows that the student pays great attention to socially responsible initiatives taken by universities. Such activities also develop a socially responsible attitude among students which is very important for developing responsible business leaders. The applications and implications of this research are also discussed in detail. </p>

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)0.005
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 score0.242
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.054
GPT teacher head0.401
Teacher spread0.348 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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