Literacy and essential skills development in the context of canadian corporate L&D
Bibliographic record
Abstract
The research is an attempt to analyze the issues of adult literacy and essential \nskills (LES) development in the context of corporate education in Canada. Literature review of \nofficial documents and scientific works revealed the importance of functional literacy \ndevelopment which encompasses literacy in its traditional understanding and other skills \nessential for the sustainable development of an individual, company, nation, and mankind. \nThe important role of the private sector in this respect is undisputable. Since Canada is one \nof the most developed countries in the world, its experience in the area of adult LES \ndevelopment is assumed to be an exemplar for other countries. Because of this, the paper \noutlines the state of adult LES promotion and enhancement in Canada focusing on the role \nof the private sector in the process. Digital literacy is regarded as one of the essential skills \nof the 21st century, thus the experience of Canada in technical upskilling of the working \npopulation is considered as well. The research reveals that increasing investment into \nemployees’ learning is beneficial for an individual and a company alike. Therefore, significant \nattention is paid to the experience of Canadian companies in this area. Cooperation of \nvarious stakeholders is crucial for addressing the issue of low levels of literacy and \nessential skills, thus, the paper dwells on some national programs and local initiatives \nfacilitating cooperation between public and private sectors for advancing the literacy level \nof working adults in Canada. The results of the research wrap up with one of the effective \napproaches to developing LES training in the corporate context as recommended in the \nscope of Advancing Workplace Learning, a wide-scale national project dedicated to \nvarious aspects of corporate L&D in Canada.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".