A Model to Create a More Prepared and Effective Workforce through Essential Skills Training
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
This chapter defines Essential Skills (reading, writing, numeracy, document use, computer skills, working with others, teamwork, oral communication and thinking skills), describes an employer training model and pilot project, and then offers recommendations for applying lessons learned to incorporate Essential Skills into the academic environment to better prepare students for the workplace. A principle faculty member from City University of Seattle was hired independently to work on the pilot project to develop a model for small businesses to embed essential workplace skills into workplace training. The project was supported by the Canadian federal government. The result of the project was a training model that can be adopted by any size business or organization to incorporate Essential Skills into training. The model was successful in the three organizations where it was piloted and the deliverables from the project included a website (found at www.westproject.ca), which is still live and contains training \nresources for small businesses and a printed resource guide. A link to the resource guide can be found at the same website.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it