Conforming to and resisting imposed identities – an autoethnography on academic motherhood
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".