Australian Qualifications Framework Lower-Level Qualifications: Pathways to Where for Young People?.
Bibliographic record
Abstract
This report investigates the outcomes from lower-level Australian Qualifications Framework (AQF) qualifications (Certificates I and II) for young people (aged 15 to 24 years). These qualifications are aimed at developing basic vocational skills or preparatory access skills. They may also lead to further study. A prime motivation for young people undertaking these qualifications is to facilitate transition into the labour market. The main questions to be addressed by this research are: (1) To what extent do Certificate I and II qualifications lead to employment? (2) To what extent are Certificate I and II qualifications being used as pathways to further study? (3) To what extent do preparatory courses lead to employment and/or further study outcomes? The findings indicate that vocational and further study outcomes for young people from Certificate I and II qualifications could be described as fair, at best, with some variations to these findings according to age, gender and certificate level. The data indicate that very small proportions (less than 10%) of young people undertook their course for further study reasons, the majority reporting that they undertook the course for employment-related reasons, while a significant proportion reported personal interest as a motivation. Females were found to be more likely to report personal interest and further study as motivations. A key finding of the research is that few young people who enrol in Certificate I and II courses complete them and only a minority of young people were projected to enrol in further study at a higher level (just under a quarter), or to complete a further qualification.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".