The Continuity and Discontinuity of the Embodied Self in Infertility*
Bibliographic record
Abstract
Se servant de données d'interviews en profondeur auprès de 110 femmes et 68 hommes, les auteurs de cet article examinent la construction et la négotiation du moi intrinsèque dans l'infertilité. lis analysent comment les hommes et les femmes qu'ils ont interviewés construisent une image de leur corps comme une machine, négocient la perte de contrôle et éprouvent les défauts perçus du moi intrinsèque dans le contexte des discours dominants de la féminité et de la masculinitè. Ils soutiennent que les défauts du corps aboutissent à un moi intrinseque discontinu, au fur et à mesure que l'infertilité fait voler en éclats les perceptions antérieures du moi intrinsèque et remet en question les anciennes conceptualisations des individus du lien tenu pour acquis entre le corps et le moi. Using data from in-depth interviews with 110 women and 68 men, this paper examines the construction and negotiation of the embodied self in infertility. We analyse how the men and women we interviewed construct the body as machine, negotiate loss of control, and experience the perceived failings of the embodied self within the context of dominant discourses of femininity and masculinity. We argue that the failings of the body culminate in a discontinuous embodied self as infertility shatters previously held perceptions of the embodied self and challenges individuals' former conceptualizations of the taken-for-granted link between the body and the self.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".