Research Experience and Agreement with Selected Ethics Principles from Canada's "Tri-Council Policy Statement--Ethical Conduct for Research Involving Humans"
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
An online survey was conducted of students, instructors, and researchers in distance education regarding principles for the ethical treatment of human research subjects. The study used an online questionnaire, based on principles drawn from Canada’s Tri-Council Policy Statement, Ethical Conduct for Research Involving Humans (TCPS, 2003), which the authors had sometimes found problematic in their own distance education practice (as researchers, and in their work with graduate students). Overall, findings showed that respondents tended to agree with the principles presented, whether consistent or not with the TCPS; however, those with more research experience showed a tendency to agree more with questionnaire items that were consistent with the TCPS, and less with those items not consistent with the Policy, a pattern that was more pronounced in a group of twenty-five published researchers. Conclusions were that research experience was associated with greater agreement with the Policy’s principles, with ethics issues, and with REB experience; that, by their own admission, many participants were not well acquainted with the TCPS; and that efforts to address the reservations of distance education researchers about ethics review should include the involvement of experienced researchers, as this group likely best represents the ethical norms and practices of the field.
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 | 0.021 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.017 |
| 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