Identity in Transition: Women’s Narrative Identity Work on the Path to Professional and Mother
Bibliographic record
Abstract
Although numerous scholars claim that identity is an integral aspect of engaging in work and family, the extant literature falls short of explaining how identities are constructed, adapted and enacted in the context of combining career and family. In fact, much of the literature is grounded in the assumption that work and family represent separate, competing identities, especially for women. Missing from this body of literature is a conceptualization of combining career and family as a complex set of transitions and decision-making that provoke the questions, “Who am I?,” “What do I really want?,” and, “How do I get there?” Through a narrative study of 35 professional/managerial women, novel forms of narrative identity work are discovered in stories of three significant turning points: the school to work transition, the transition to motherhood, and the transition to combining career and family. Patterns of narrative identity work across these three transitions are uncovered and labeled: Blazing Her Trail, Fulfilling Her Quest, and Finding Her Way. These patterns provide important new insights into the identity journeys of professional/managerial women.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.018 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".