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Record W4391734324 · doi:10.53935/jomw.v2022i1.182

The Convergence of Views on Career Success from Different Socio-cultural Backgrounds: Comparative Analysis

2022· article· en· W4391734324 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.

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

Bibliographic record

VenueJournal of Management World · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsConvergence (economics)PsychologySociologyMathematics educationEconomicsEconomic growth

Abstract

fetched live from OpenAlex

The subjective success of a career continues to be an important subject in the field of career explorations, as organizational and social contexts are constantly evolving and dependence on external success definitions is unacceptable or unacceptable. Although various measures of subjective career success have been developed, there are no measures that represent several nations. This paper explores whether there is a convergence of views at the workplace between men and women from the same or different socio-cultural backgrounds. It presents the findings of three independent studies, which happened to revolve around the perceptions of career success between working males and working females. The results of the analyses indicate that the position and experience of women on work-related issues and are similar in different countries. It can be concluded that working women regardless of their societal background seem to share commonalities in terms of their definition of success, factors determining success, conceptualization of power and leadership style, presence of women in the workforce, and work-family balance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.288
Teacher spread0.227 · 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