As the Body Unfolds: Examining Girlsâ Changing Experiences with the Socially Constructed Labels âTomboyâ and âGirly Girlâ
Bibliographic record
Abstract
This study explored the lived experiences of girls with the socially constructed labels ‘tomboy’ and ‘girly girl’. Using a prospective, life history, qualitative methodology, girls between the ages of nine to fourteen years old were interviewed up to four times over five years for an extensive embodiment project. The present study investigated girls’ narratives of the ‘tomboy’/ ‘girly girl’ dichotomy to deepen an understanding of how gender discourses affect how girls learn to live in their bodies. A total of 87 interviews were collected from 27 girls representing diverse social and cultural backgrounds as well as different urban and rural Canadian locations. The interviews were transcribed and analyzed for themes using the constant comparison method from Grounded Theory. Examining the data from a feminist poststructuralist theoretical approach, three main dimensions emerged that described these girls’ experiences of living with these labels from childhood through adolescence. The first dimension described the shared cultural stereotypes of the ‘tomboy’ and ‘girly girl’ labels. The second dimension delineated the social outcomes in terms of the privileges and consequences associated with each label in childhood and in adolescence. The third dimension highlighted girls own negotiated self experiences and identities in relation to this gender dichotomy. Through its prospective design, this research uniquely delineated the complex range of experiences girls have within gender discourses and explored how labels work to control and restrict girls’ freedom to stay connected to their self and body.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.016 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 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".