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Record W4416374117 · doi:10.1071/pu25031

Opening the policy window: how Australia banned engineered stone

2025· article· en· W4416374117 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic Health Research & Practice · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsKensington Health
Fundersnot available
KeywordsPoliticsValue (mathematics)Window of opportunityKey (lock)Policy makingHealth policyPublic policyPerspective (graphical)

Abstract

fetched live from OpenAlex

OBJECTIVE: This case study applies Kingdon's multiple streams framework (MSF) to analyse Australia's world-first decision to ban engineered stone (ES) and addresses the following questions: How did the ES silicosis crisis become a priority on the policy agenda, and how did problem framing, proposed solutions, and political factors converge to enable the ban? TYPE OF PROGRAM: The program discussed in this paper involves the regulatory intervention of banning siliceous ES, a significant occupational health policy reform aimed at preventing silicosis, an irreversible lung disease caused by silica exposure in the workplace. The ban, which took effect on 1 July 2024, is part of a broader initiative to protect workers, especially in industries involving ES processing, from the harmful effects of respirable crystalline silica. METHODS: A qualitative case study approach was used. Data sources included government reports, regulatory consultations, media coverage, advocacy materials, and expert insights from stakeholders involved in the reform process. Thematic analysis was structured around MSF's three streams: problem, policy, and politics. RESULTS: The analysis reveals that the problem stream was driven by framing the rapid rise of accelerated silicosis in the ES industry as a preventable 'public health emergency' disproportionately affecting young Australian workers. The policy stream, led by Safe Work Australia (SWA), featured the evolution and introduction of policy options shaped by sustained advocacy from unions, professional bodies, and researchers. In the political stream, bipartisan support, minimal industry resistance, and low economic impact facilitated the political appetite for change. The convergence of these three streams created 'a window of opportunity' that enabled the successful policy reform. LESSONS LEARNT: This case highlights that policy change can occur when evidence, political conditions, and advocacy efforts align. Strategic problem framing, limited industry resistance, and political feasibility were key enablers. The study reinforces the value of Kingdon's framework for understanding how diverse efforts can converge to create a window for meaningful occupational health reform.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.070
metaresearch head score (Gemma)0.134
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0700.134
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0080.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.008
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.542
GPT teacher head0.651
Teacher spread0.109 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it