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Record W3173606582 · doi:10.1108/aaaj-01-2020-4367

Century plus journeys: using career crafting to explore the career success of pioneer women accountants

2021· article· en· W3173606582 on OpenAlexaboutno aff
Mohini P. Vidwans, Rosalind H. Whiting

Bibliographic record

VenueAccounting Auditing & Accountability Journal · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsnot available
Fundersnot available
KeywordsOriginalityEmpowermentPoliticsValue (mathematics)Career developmentSociologyGender studiesPublic relationsManagementPolitical scienceSocial sciencePedagogyQualitative researchLawEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to explore the struggle for entry and career success of the early pioneer women accountants in Great Britain and its former colonies the USA, Canada, Australia and New Zealand. Design/methodology/approach A career crafting matrix guides the analysis of historical information available on five pioneer women accountants in order to understand their success in gaining entry into the profession and their subsequent careers. Findings Despite an exclusionary environment, career crafting efforts coupled with family and organizational support enabled these women to become one of the first female accountants in their respective countries. Their struggles were not personal but much broader—seeking social, political, economic and professional empowerment for women. Originality/value This is the first paper to utilize the career crafting matrix developed from current female accountants' careers to explore careers of pioneering female accountants. It adds to the limited literature on women actors in accounting and may provide insight into approaching current forms of difference and discrimination.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0060.003
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.266
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2021
Admission routes1
Has abstractyes

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