Life After Experiences of Infertility Treatment: <i>Akirameru</i>—The First Step for Empowering
Bibliographic record
Abstract
Although there is some awareness of how women in infertility treatment have suffered physically and psychologically, it is a little known fact that there is a limit to the “cures” that can be achieved even with assisted reproductive technologies. Here, I describe how the existence of ART affects women's decision making about their lives. Through life histories of women who underwent infertility treatment, I explore the factors which cause their suffering and conflict—that they cannot give up on having children even though they want to give up—as follows: (1) The models of their ideal family which have been formed throughout their lives is ‘ordinary’ family; (2) they experienced the alienation from their own bodies in infertility treatment; (3) they are afraid that they deviate from the community norm because of infertility; (4) their narrative shows their suffering from infertility is caused by tense relationship in family and community. These factors make women in infertility belittle themselves. Through their life histories, I conclude that they need to be empowered if they want to akirameru (give up) having children after prolonged infertility treatment. To paraphrase, a woman who suffers from infertility and infertility treatment is empowered when she becomes unafraid to deviated from cultural norms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".