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Record W4391224658 · doi:10.3126/fwr.v1i2.62153

Perspectives of HRM Professionals on Diversity, Equity, and Inclusion in Nepal

2023· article· en· W4391224658 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFar Western Review · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Inclusion (mineral)Diversity (politics)BusinessPsychologySociologyPolitical scienceSocial psychologyAnthropology

Abstract

fetched live from OpenAlex

Diversity Management has not yet been a significant part of now much discussed topic HRM in Nepal although the concepts of Diversity Management (DM) emerged in the USA, Canada in 1980s. Most of the developed countries in European Union have been the flagship of diversity management. There is handful of renowned organizations today either catering HRM services or implementing full-fledged HRM discipline in their own organizations. College text books and, seminars and dialogues conducted by development sectors have indicated that the emergence of concepts of Diversity, Equity and Inclusion (DEI) is pertinent in today’s context. In developed countries, both profit making and non-profit making organizations have been emphasizing the concepts of DEI and focusing on those in organizations. It’s a thought[1]provoking idea to learn the perspectives of current organization leaders in Nepal about their views on DEI. The article has been prepared based on findings of in-depth interviews taken with leaders and/or senior HR managers of reputed companies those are promoting HRM in Nepal. It attempts to provide an exploratory review seeking to shed light on their perspectives of regarding DEI in their pre-established HRM domain. The article explores the opinions, experiences and competencies and the initiatives taken by HRM leaders. The article also discusses the challenges faced by the HRM leaders in the pursuit of promoting the diversity management.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.028
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 head0.057
GPT teacher head0.343
Teacher spread0.287 · 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