Falling through the cracks? An analysis of health and safety resources for migrant workers in Australia
Bibliographic record
Abstract
Purpose – Many migrants coming to Australia end up in poor quality jobs that can lead to injury or illness. The purpose of this paper is to examine work-related resources available to migrants in Australia to determine whether these contain information on employment standards (ES), occupational health and safety (OHS) and workers’ compensation (WC). Design/methodology/approach – National and state-based websites of government, unions, WC boards and community organizations were searched for relevant materials. Resources were analysed and categorized according to location, content, resource type, audience and language. Findings – We found 175 work-related resources that targeted migrants, or those working with them. The greatest numbers of resources were found in New South Wales, Victoria, and at a national level. There was a lack of comprehensive resources, with most resources containing only general work-related information. Those that had information on ES, OHS and WC generally covered only one topic in depth. Few resources were directed at temporary foreign workers. Although there are many resources to help newcomers find employment, these often do not include comprehensive information about rights at work, injury prevention and WC. Practical implications – Improving the comprehensiveness and accessibility of work-related resources could assist migrant workers in understanding ES, OHS and WC in Australia. Originality/value – This study, a first of its kind in Australia, examines work-related resources aimed at recent immigrants and whether these contain information related to health and safety, employment rights and responsibilities or what to do in the event of an injury. The analysis suggests that there is a paucity of comprehensive resources that address these topics. This is significant because recent immigrants, compared to native-born workers are more likely to work in jobs that expose them to hazards and increase their risk of injury. Resources preparing newcomers for work in Australia should include work and health-related information.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".