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Female entrepreneurs’ identity responses to mumpreneur categorisations in the media

2016· article· en· W2736460683 on OpenAlexaboutno aff
Nora Christina Koslowski, Irene Skovgaard‐Smith

Bibliographic record

VenueAcademy of Management Proceedings · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)SociologyAutonomyEntrepreneurshipContext (archaeology)Perspective (graphical)Gender studiesSocial identity theorySocial mediaPublic relationsSocial psychologyPolitical sciencePsychologySocial groupSocial scienceAesthetics

Abstract

fetched live from OpenAlex

This paper examines how female entrepreneurs labelled as mumpreneurs are constructed in public discourse and analyses identity work by women themselves as they respond and discuss the mumpreneur label with each other in online social spaces. Using the theoretical perspective of social categorisation and its identity effects (Jenkins, 2000; Watson, 2008), we analyse data from newspaper articles about mumpreneurship from the UK, Ireland, the US, Canada, Australia and New Zealand, and data from online discussions between mumpreneurs in the same six countries. We show how mumpreneurship is narrowly constructed in public discourse as a form of motherhood that involves combining ‘pin-money’ type economic activity with performance of intensive mothering norms and is distinguished, often negatively, from other forms of ‘real’ business activity and entrepreneurship. We show how women who feel categorised as ‘mumpreneurs’ create identity in response to this categorisation in three ways: 1.) adopting and celebrating the mumpreneur label; 2.) defining themselves by rejecting and resisting the mumpreneur label; or 3.) striving for autonomy of self-identification. The contribution of this paper is to create new insight into how mumpreneurship as an identity project is pursued at the intersection between external social categorisation and personal identity work in the context of gendered discourses of entrepreneurship and norms of intensive mothering.

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)0.001
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 score0.214
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.037
GPT teacher head0.274
Teacher spread0.237 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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