Credentialing Standards for Teaching Outdoor Activities: An International Comparison
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
There is little research on the process for credentialing teachers of outdoor recreation activities. This research used an explanatory mixed-method research design to understand the credentialing requirements for becoming an outdoor instructor. Following a census and constant comparative analysis of 155 credentials from 62 credentialing organizations in Australia, Canada, New Zealand, United Kingdom, and the United States, the second phase of research explored the phenomenon of credentialing in outdoor education using a maximal variation sampling strategy. Results emphasized a prevalence of organizations in all countries and enormous variety in outdoor instructor credentialing requirements. As a result, a typology of the requirements for becoming and outdoor instructor was developed. A series of common themes emerged across all credentials; however most credentials utilized a unique set of standards for screening, training, and evaluating instructor candidates. Findings also demonstrated contradicting evidence for human capital theory, credentialist theory, and signaling theory, and the multiple rationales for the purpose of credentialing led to the exploration of a new theory of credentialing based on Bronfenbrenner's ecological systems theory. The similarities and differences between outdoor credentials were explained by multiple factors including: geography, activity, philosophy, culture, politics and industry. Implications include a need for better transparency of training and assessment strategies and increased sharing of information among organizations and educational disciplines.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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