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
Background: Brain injuries often result in long term disabling consequences. Family members who take care of brain injury survivors have expressed an interest to access caregiver services supported by information communication technologies. Objectives: To investigate the needs of internet-based support services by family caregivers of brain injury survivors in the province of Ontario, Canada. Methods: Family members of one provincial and one regional brain injury organizations participated in a mail survey. Results: A total of 157 internet users participated. The response rate was 39%. A typical internet user was female, aged 41-60, provided moderate to heavy care for a family member in a post-acute long-term recovery stage. Most caregivers preferred information about programs (73.9%), brain injury (67.5%), and caregiving (64.3%). Approximately half preferred to email health professionals (56.7%) and to obtain website lists (55.4%). They were less interested in email exchanges with other caregivers (35.7%), a message board (22.9%), or a chat group (19.7%). Logistic regression analyses showed that caregivers ’ preferences were affected by their prior experiences of internet, email, and chat group uses ( P < 0.01). If caregivers had experiences in searching brain injury information on the internet, they were more likely to prefer information-based support. If they had experiences in emailing someone about brain injury, they were more likely to prefer email-based support.
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 | 0.005 | 0.007 |
| 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) | 0.002 | 0.009 |
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