“It's Challenging on a Personal Level”—Exploring the ‘Lived Experience’ of Australian and Canadian Prenatal Genetic Counselors
Bibliographic record
Abstract
Prenatal genetic counselors work with clients who are at risk of having a child with a fetal anomaly, or who have been diagnosed with a fetal anomaly. This can raise challenging ethical, moral and legal issues for both clients and counselors. Few studies have explored whether this type of work impacts on genetic counselors themselves. Interviews were conducted with 15 prenatal genetic counselors, five from Toronto, Canada and ten from Melbourne, Australia. A qualitative approach was used to allow for an in-depth exploration of the experiences of genetic counselors working in the prenatal setting. While participants reported that working in a prenatal setting affected them in several ways, this paper focuses on one particular unanticipated finding--that of the impact experienced by counselors from both countries while working when pregnant.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".