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Record W7096729322

atching Our StepW Certification for Challenge Course Practitioners

2016· article· en· W7096729322 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationAccreditationCertification and AccreditationCompetence (human resources)VendorProfessional certification (computer technology)Professional standards
DOInot available

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.300
GPT teacher head0.544
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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