Ethical Issues and Codes of Ethics: Views of Adult Education Practitioners in Canada and the United States
Bibliographic record
Abstract
Although the ethics of practice has become increasingly visible in the adult education literature over the past two decades, little empirical research has been done to inform the dialogue and debate. The purpose of this study was to examine the views of adult education practitioners in British Columbia about the need for a code of ethics and about the ethical issues, concerns, and dilemmas experienced in their practice. The study was an approximate replication of research carried out in Indiana reported by McDonald and Wood. This study was undertaken to broaden the empirical database within adult education, provide further insight into the ethics of practice, and determine similarities and differences between Canadian and American adult educators in their encounters with ethical issues and their views about codes of ethics. Major findings confirm positive practitioner views about codes of ethics and are generally consistent with the findings reported by McDonald and Wood.
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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 | 0.013 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.035 | 0.018 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".