Bibliographic record
Abstract
Background In 2003 the Canadian Young Worker Memorial Quilt was completed and unveiled in Toronto, Ontario, Canada. One hundred Canadian families, representing each province of Canada and many workplace sectors, gave of themselves and worked with their grief to help create a unique piece of art to better demonstrate the magnitude of young workers who lost their lives on the job. With the Canadian Quilt as inspiration a group in South Australia set about developing their own quilt. Aims/Objectives/Purpose To develop a quilt, videos and stories that not only commemorates those who have died, but also the enormous impact and emotional toll on the victim's families, friends and the community. Methods From March 2011 to March 2012 workshops were held most Friday's at a donated work space. Those not based in the metropolitan area who wanted to be involved, were emailed instructions and posted materials. Results/Outcome Over 70 people were involved in the development of the quilt. Three families recorded their stories on DVD and those three families along with three other families whose loved ones were killed in the same incident contributed to written stories. Significance/Contribution to the Field Families were able to share their stories not only helping others in similar situations, but also to advocate for safety to prevent these tragedies from occurring again.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".