“If My Mother Was Alive I’d Probably Have Called Her.”
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
Women living in a rural Canadian county were interviewed about how they locate health information. The experiences they described raise interesting questions about the efficacy of government sponsored e-health initiatives, particularly when such programs are intended to compensate individuals who live in remote communities for lack of access to health care services. Most of the women in the study undertake considerable health-related information gate-keeping for themselves and on behalf of family members and others in their personal networks. They seek and assess information from a wide variety of sources, some of which they locate via the Internet, and they balance what they learn against their experiences with the formal health system. The women’s accounts focused repeatedly on the quality of their relationship with those to whom they turn for assistance, although the actual roles of helpers, whether physicians, friends, librarians, or staff in health food stores, often appeared to be incidental. Instead, helpers’ perceived effectiveness seemed to depend largely on how well they express care when information is exchanged. Several women also reported that they had diagnosed and even treated themselves, sometimes on the basis of information gathered from the Internet. These and other findings are discussed with respect to public policy concerning consumer health information and the potential role of public libraries in the provision of health information programming in rural communities.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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