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
Every day a patient’s pocket becomes 425 dollars lighter for clinicians to guide and provide non-invasive prenatal testing. This research inquires: what are clinicians’ experiences of explaining prenatal screening and delivering genetic syndrome diagnoses? This paper Departs Radically in Academic Writing (DRAW) and presents key findings from qualitative interviews with 12 clinicians in “poetic scenes”, inspired by cultural theorist Lauren Berlant and anthropologist Kathleen Stewart. I describe DRAW, the birth story of a research rationale, and my metaphorical meeting with Berlant and Stewart. Then the poetic scenes begin: we enter doctors’ offices and bump into assumptions; we become a time-poor clinician, labouring in language construction with varying degrees of consciousness; we dissect “risk” – an ambiguous specimen; and we board the wrong train, going to prenatal screening destinations that we don’t like to name. We imagine a world where prenatal screening is built with poetry. We dream of attention to words.
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 | 0.000 | 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 | 0.000 |
| 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