ERIC ED532414: Apprentices & Trainees: Early Trend Estimates. March Quarter, 2012
Bibliographic record
Abstract
This publication presents early estimates of apprentice and trainee commencements for the March quarter 2012. Indicative information about this quarter is presented here; the most recent figures are estimated, taking into account reporting lags that occur at the time of data collection. The early trend estimates are derived from the National Apprentice and Trainee Collection no.71, March 2012. Data are only available for commencements at the national level and have been seasonally adjusted and smoothed. Further information at the disaggregated level for the March quarter 2012 will be released in early September 2012. Early indications for the March quarter 2012 show that: (1) Trade commencements grew steadily from the June quarter 2009 to the September quarter 2010. Since then there has been a decline; and (2) Non-trade commencements declined in the March quarter 2012, after growth over the previous two quarters. (Contains 1 table and 1 figure.) [Funding for this paper was provided through the Department of Industry, Innovation, Science, Research and Tertiary Education.]
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.857 | 0.033 |
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; both teacher heads agree on what is shown here.
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".