Climate change, activism, and supporting the mental health of children and young people: Perspectives from Western Australia
Bibliographic record
Abstract
The climate crisis has detrimental impacts on the mental health and wellbeing of children and young people. Psychological effects include feelings of fear, overwhelm, worry, distress, hopelessness and anger; PTSD; depression; anxiety; phobias; panic disorder; sleep disturbances; attachment disorders; learning difficulties; substance abuse; shock and trauma symptoms; adjustment problems; behavioural problems; and, suicidal thinking. First Nations' children and young people are particularly at risk due to loss of place, identity, culture, land and customs informed by kinship relationships with the Earth; while sustainable land use practices and connection to Country and community can enhance climate resilience. In Western Australia (WA), some young people engage in climate activism - including striking from school - to demand government action to address the causes of climate change, including colonisation and capitalism. Climate activism can promote resilience, particularly when children and young people can emotionally engage in the climate crisis; when mental health is systemically supported; when climate communication is transparent and comprehensive; and, when activism is informed by the knowledges and wisdoms of First Nations peoples and grounded on Country. This article is co-authored by WA young people, Aboriginal and non-Aboriginal academics, activists and practitioners engaged in youth, mental health and climate justice spaces. We argue for structural change to address the causes of the climate crisis, alongside enhanced evidence and approaches to appropriately support the mental health of children and young people. Furthermore, we support the call of Aboriginal peoples to ensure culturally appropriate, place-based responses based in caring for Country.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".