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Record W4283453137 · doi:10.1108/qrom-07-2021-2175

Conforming to and resisting imposed identities – an autoethnography on academic motherhood

2022· article· en· W4283453137 on OpenAlexaff
Isabella Krysa, Marke Kivijärvi

Bibliographic record

VenueQualitative Research in Organizations and Management An International Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsBecton Dickinson (Canada)
Fundersnot available
KeywordsAutoethnographySociologyResistance (ecology)SensibilityGender studiesOriginalityIdentity (music)Value (mathematics)Norm (philosophy)AestheticsEpistemologySocial scienceQualitative researchPolitical scienceLaw

Abstract

fetched live from OpenAlex

Purpose This research attempts to make sense of the experiences of two academic women who become mothers. Design/methodology/approach This paper is an autoethnography. Applying the autoethnographic method allows us to discuss cultural phenomena through personal reflections and experiences. Our autoethnographic reflections illustrate our struggles and attempts of resistance within discursive spaces where motherhood and our identity as academics intersect. Findings Our personal experiences combined with theoretical elaborations illuminate how the role of the mother continues to be dominated by such gendered discursive practices that conflict with the work role. Once women become mothers, they are othered through societal and organizational practices because they constitute a visible deviation from the masculine norm in the organizational setting, academia included. Originality/value This paper explores how contemporary motherhood discourse(s)within academia and the wider society present competing truth claims, embedded in neoliberal and postfeminist cultural sensibility. Our autoethnographic reflections show our struggles and attempts of resistance within such discursive spaces.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.319
GPT teacher head0.538
Teacher spread0.219 · 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.

Study designQualitative
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

Citations4
Published2022
Admission routes1
Has abstractyes

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