Essential Skills Computerized Occupational Readiness Training (ESCORT) Demonstration Project, Canada.
Bibliographic record
Abstract
ABSTRACT: \nThis chapter describes the purpose, processes, and effects of an e-learning employment readiness system, ESPORT, currently being pilot tested in Canada. The Essential Skills Portfolio (ESPORT) system is a facilitated and supported Internet-delivered system primarily intended for adults with a high school education or less, intended to assist users to choose an occupation, assess their enabling skills in respect to the chosen occupation, identify and (optionally) remedy skills gaps, and document in a resume their abilities for prospective employers. \nWhile this e-learning project was not complete at this writing, this report describes the piloting process, and some already obvious conclusions regarding ESPORT’s technologies, design, delivery, and support models, and training protocols. As anticipated, both the project’s components and the evaluation design have changed, recognizing pressing issues requiring early attention, and responding to lessons learned.
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How this classification was reachedexpand
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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".