Perceived Competence in NCTRC Job Domains among Therapeutic Recreation Interns during COVID-19
Bibliographic record
Abstract
The COVID-19 pandemic caused many internships during the January 2020 semester to be shift ed to a virtual/remote format. Due to the unprecedented nature of this forced shift , there was minimal consistency in how virtual/remote internships were conducted. Using a cross-sectional design, this study aimed to summarize the experiences of RT/TR interns during the COVID-19 outbreak and assess their perceived competency in the NCTRC Job Task domains. A quantitative survey was developed for interns to self-assess their perceived competence in the ten domains. Interns reported being concerned about finishing their internship and graduating yet were satisfied with the amount of support received from their site and faculty supervisors. Interns perceived their highest competency in the areas of professional relationships and awareness and advocacy. Concerns are discussed regarding the inconsistent nature of remote internships during COVID-19, as well as implications for the profession and suggestions for future research in this area.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".