Arthritis and self-employment: Strategies for success from the self-employment literature and from the experiences of people with arthritis
Bibliographic record
Abstract
This qualitative analysis identifies factors that individuals with arthritis should take into consideration prior to pursuing self-employment (SE). Subjects were recruited from a database of all patients who had used the services of a provincial, out-patient arthritis treatment program between January 1999 and December 2000. Letters screening for SE experience were sent to 4414 individuals. Of the 1695 (38% individuals who responded, 442 (26% reported current or previous SE experience and 247/442 (56%) agreed to participate and completed a mailed survey. Three open-ended questions asked respondents what advice they would give to someone with arthritis who was considering SE, and to provide their general thoughts on SE as an option for people with arthritis. Respondents provided a range of practical advice on determining the suitability of SE, choosing the type of SE in which to become engaged, and potential strategies for success. Advice for improving the chance of business success included the importance of formal and informal support, self care, maintaining close contact with one's medical team, pacing, and finally, planning the business.
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.
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 | 0.001 |
| 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 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".