Bibliographic record
Abstract
This article examines the production and reproduction of silence around infertility in Ireland. Based on narratives collected during 18 months of fieldwork, this article locates the contradictory role of silence in both the private experiences of individuals faced with a difficulty conceiving and in institutions constituted as mechanisms of public support. For many people who experience infertility, silence is rooted in the social stigma associated with reproductive failure or sexual inadequacy. Silence protects privacy while at the same time foreclosing both challenges to assumptions that fertility is the norm and any counterdiscourse to the heteronormative, profamily society in Ireland. I show how the reproduction of silence about infertility is a legacy of Ireland's history, reproductive politics, and the cultural idiom of choice. I argue that support networks and Internet bulletin boards on websites create opportunities to dialogue in silence, reproducing isolation rather than creating public discourse.
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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 | 0.015 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.072 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.004 | 0.007 |
| 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".