E-mail or snail mail? Randomized controlled trial on which works better for surveys.
Bibliographic record
Abstract
OBJECTIVE: To compare e-mail with regular mail for conducting surveys of physicians. DESIGN: Randomized controlled trial. SETTING: Ontario, Canada. PARTICIPANTS: A random sample of physicians listed in the College of Family Physicians of Canada's membership database. INTERVENTIONS: Survey delivered by e-mail and by post. MAIN OUTCOME MEASURES: Response rates and times, and completeness and characteristics of responses to the survey. RESULTS: Overall response rate was 44.7% (33.6% of e-mail recipients, 52.7% of post recipients who have e-mail, and 47.8% of post recipients without e-mail). While the e-mail rate was significantly lower than for both post groups, e-mail responses were received much faster. There was no significant difference among groups as to completeness of responses, but e-mail responses had more frequent and longer comments. CONCLUSION: E-mail provides faster but fewer responses to surveys. Content of structured-response questions was similar in all groups, but e-mail provided more and longer responses to open-ended questions. Where a quick response to a survey is required, e-mail is superior.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".