atching Our StepW Certification for Challenge Course Practitioners
Bibliographic record
Abstract
After many long years of debate, consultation, and preparation, certification for challenge/ ropes course practitioners is finally here. In February 2007 the Association for Challenge Course Technology (ACCT) approved new standards for the certification of Challenge Course Practitioners. These standards will be used by accredited professional vendor members of ACCT in the training and certification of practitioners and may also be used as a reference by others. These new standards represent the first common approach to certification in our industry. Certification provides an opportunity for organizations to know what they are getting when they hire staff members. It is intended to raise the bar by promoting higher standards of competence among challenge course practitioners and to create some uniformity in the industry. Standard Setting Organizations ACCT is a trade organization of challenge course installation and training organizations as well as programs and other interested parties. While its membership is primarily based in the US there are accredited professional vendor, associate and institutional members internationally, including in Ontario. The organization was formed in 1993 and since that time has published consensus-based standards for challenge/ropes courses in the areas of installations, operations, inspections and ethics (ACCT, 2004). These standards have been utilized widely in Ontario, and adherence to aspects of them is required in
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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 | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.054 | 0.019 |
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".