The Reframe

YouRight? is not a psychosocial survey platform with life factor extensions. It is a gender-responsive risk interpretation tool grounded in evidence around the biological and social determinants that shape men's health outcomes.

Design Principles

• Aligned with WHS psychosocial legislation — sits inside the regulatory framework, not adjacent to it
• Determinants as risk modifiers — biological and social determinants modify hazard exposure, they're not lifestyle questions
• Interaction effects — model how factors compound, not additive stress scores
• No deficit framing — structural analysis, not "blokes drink too much"
• Cohort-level — population-level risk interpretation, not individual profiling
• Governance instrument — board-ready, regulator-aligned output

Three-Layer Input Architecture

What Makes This Different From Everything Else

Strategic Position

This isn't just another survey tool. It's a framework that can:

• Sit inside regulatory conversations about psychosocial risk management
• Shape industry reform around how male-dominated workplaces are understood
• Inform government policy on gendered approaches to workplace health
• Become the standard interpretive layer between WHS obligations and male-specific health determinants

Determinant Categories

These are not survey questions. They are evidence-based, population-level variables drawn from peer-reviewed epidemiology and longitudinal research. They function as cohort-level amplification modifiers that shape how workplace psychosocial hazards manifest in male-dominant workforces.

Category 1: Biological Determinants

Male-specific biological factors that modify stress response, risk perception, and health outcomes.

Category 2: Social Determinants

Male-specific social and cultural factors that modify how psychosocial hazards are experienced, expressed, and responded to.

Key Evidence Sources Referenced

Interaction Logic: How Determinants Amplify Hazards

The core engine is not additive. Determinants don't just "stack up" — they interact with specific hazards to create amplification pathways. A determinant might amplify one hazard significantly while having minimal effect on another.

Example Amplification Pathways

Men under sustained job demands who externalise distress (irritability, risk-taking) and don't access support accumulate invisible chronic load. Standard WHS hazard assessment sees "high demands" but misses the amplification — the hazard is more dangerous in this population than the raw rating suggests.

FIFO/remote work compounds pre-existing male social isolation patterns. Add relationship breakdown (temporal risk spike) and you get a compounding disconnection spiral. The hazard "remote work" is qualitatively different in a male-dominant workforce with these determinant profiles.

Physical environment hazards + male pain underreporting + substance use for pain management = a cascade that standard WHS misses entirely. The physical hazard becomes a gateway to compound psychosocial risk through biological determinants.

When male identity is enmeshed with provider and occupational roles, "inadequate recognition" isn't just a workplace dissatisfier — it's an identity threat. The hazard triggers a fundamentally different (and more dangerous) response pathway in populations where these determinants are present.

Amplification Model Architecture

Step 1: Hazard Baseline

Start with the organisation's psychosocial hazard profile (Layer A data). Each of the 14 SafeWork hazards gets a baseline rating: not identified, identified and controlled, identified and uncontrolled, or not assessed.

Step 2: Determinant Profile

Apply cohort-level determinant modifiers based on workforce demographics and evidence base. Not every determinant applies to every workplace — the profile is shaped by:

• Male-dominant percentage — higher % = stronger determinant activation
• Age distribution — older cohorts activate different determinant clusters (B6, S3)
• Regionality — regional/remote activates S5, S4 more strongly
• Industry sector — construction vs mining vs transport have different exposure profiles
• Shift structure — FIFO/night/rotating activates B4, S4, S5

Step 3: Interaction Mapping

Map which determinants amplify which hazards. This is the core IP — a matrix of hazard × determinant interactions, each with:

• Amplification strength — how much this determinant modifies this hazard (negligible / moderate / significant / critical)
• Pathway description — the mechanism by which amplification occurs
• Evidence base — the research supporting this interaction
• Temporal dynamics — is this chronic or does it spike in specific windows?

Step 4: Compound Risk Identification

Identify where multiple amplification pathways converge. Single hazard × single determinant is one thing. Multiple uncontrolled hazards × multiple active determinants creates compound risk that is greater than the sum of its parts.

Step 5: Governance Output

Generate a risk interpretation report that:

• Maps each uncontrolled hazard to its amplification pathways in this specific workforce
• Identifies the highest-compound-risk configurations
• Recommends system-level interventions (not individual wellness programs)
• Frames findings in WHS compliance language — "these hazards are amplified by these determinants in your workforce configuration"
• Is suitable for board presentation, regulator submission, and policy input

Governance Framing

Regulatory Alignment

YouRight? doesn't create new regulatory obligations. It provides an interpretive layer for existing ones:

What This Means for Industry

If adopted, this framework could fundamentally change how regulators, insurers, and industry bodies understand psychosocial risk in male-dominated workplaces. It moves from:

• "Do you have a hazard?" → "How does your workforce configuration amplify that hazard?"
• "Are your workers stressed?" → "What structural and biological factors are compounding exposure in your cohort?"
• "Run a survey" → "Interpret your risk through a gendered lens grounded in evidence"