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Record W4213384280 · doi:10.48161/qaj.v2n1a87

Employees Perception on Gender diversity on banking performance in Kathmandu valley

2022· article· en· W4213384280 on OpenAlex
Niranjan Devkota, Sushma Adhikari, Seeprata Parajuli, Udbodh Bhandari, Udaya Raj Poudel

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQubahan Academic Journal · 2022
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsGender diversityDiversity (politics)Context (archaeology)PerceptionBusinessGeographySocioeconomicsPsychologyPolitical scienceSociologyFinance

Abstract

fetched live from OpenAlex

Studying gender diversity in firm performance has been the subject of research request for more than three decades now. Yet, in context of Nepal, study related to the issue is still not abundant. Therefore, this study aims to study the present status of gender diversity on banking performance in Nepalese context that includes several benefits, challenges associated with it and policies and measures that need to be taken to promote gender diversity. The study adopted descriptive cross section research design with the survey questionnaire technique. With the help of convenient sampling technique 300 bank employees were selected purposively from all 27 A grade commercial banks residing Kathmandu valley. The study results that 100% respondents working in commercial banks in Kathmandu valley were aware about gender diversity and most of them have been aware gender diversity through their family and social media. Interestingly, this study also found that employees are not facing any challenges regarding gender diversity signifying that Nepalese commercial Banks have been practicing gender diversity friendly working environment. Similarly, building an inclusive workplace could be one of the best managerial solutions for maintaining and enhancing gender diversity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.775

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.040
GPT teacher head0.241
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