Financial support from Natural Resources Canada’s Renewable Energy Deployment Initiative is gratefully
Bibliographic record
Abstract
acknowledged. It was provided to conduct the research on the current status and outlook of renewable energy technologies, post-secondary education programs and related training needs in the emerging renewable energy sources on which this report is based. This report was prepared by the ACCC’s Renewable Energy Advisory Committee on Training that includes representatives from the federal government, Canadian renewable energy industries and Canadian community colleges. ACCC appreciates the contributions of all partners engaged in the development of a national renewable energy training strategy. The views expressed in this report are not necessarily those of Natural Resources Canada, the Government of Canada or the Canadian renewable energy industries. Cover Photo: Kwantlen University College Langley Campus in Langley, BC Kwantlen University College has had ongoing interest in conservation for many years. A winner of three prestigious awards recognizing environmental stewardship, Kwantlen has reduced electrical energy consumption at its Langley and Richmond campuses by 36 and 45 percent respectively since 1995. Kwantlen has committed to reducing greenhouse gas emissions by 20 percent over the next three years. For more information on the energy and emission management plan of the University College please consult the web site at
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 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.171 | 0.025 |
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".