Great Eggspectations: Narratives of Elective Oocyte Cryopreservation in Canadian Medical Journals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Also called oocyte cryopreservation or oocyte banking, “egg freezing” is an assisted reproductive procedure that allows people with ovaries to preserve oocytes for use in the future. “Medical egg freezing” has become established as a procedure for patients undergoing gonadotoxic chemotherapy or gynaecological surgery. In contrast, “social egg freezing” (SEF) is undertaken by patients with no current fertility issues in anticipation that they will be delaying childbearing. There is a sense that demand for SEF is growing, and it has been a rich case study for sociologists through lenses including medicalization theory, the nuclear family, intensive mothering, neoliberalism, ableism, and eugenics. Research presented in medical journals, recommendations made by clinical guidelines, and commentary and opinion pieces both reflect and shape the acceptability and availability of reproductive technologies. Therefore, the goal of this study was to explore narratives of SEF in Canadian medical journals and how these might shape medical perceptions of SEF. A qualitative, inductive content analysis of eight Canadian medical journal articles discussing SEF revealed key themes of “uncertainty,” “ethical conflict,” “age‐related fertility decline,” “extending fertility,” and “technological advancement.” A key finding of this study was that the boundaries between medical and social justifications for SEF are becoming blurred. On one hand, authors reframed SEF as a medical procedure indicated to manage age‐related fertility decline (which is pathologized). On the other hand, authors upheld SEF as a potential solution to broad social problems, including delayed parenthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it