Youth, tourism, and the SDGs: co-creating narratives of change
Bibliographic record
Abstract
The aim of our analysis is to centre the voices of young people to recognise their social justice advocacy in response to some of the most pressing global issues aligned with the United Nations Sustainable Development Goals (SDGs). Drawing on a Braided Narrative Analysis, we present the narratives of three young people across three countries on three different continents (Australia, Canada, and Scotland) engaged in advocacy work aligned with the SDGs. Our analysis is emergent from research with rather than on young people. Specifically, we explore the nexus between two foundational theories we use as a lens for understanding the narratives shared by our informants, including a feminist ethic of care and ‘childist’ ontological understanding of children as moral agents capable of ethical decision-making and drivers of change. Our Braided Narrative Analysis unearths themes in relation to the work of our informants based on the past, present, and future including recognising problems in the system; leading and activating change; and young people demonstrating courage, calling for inclusion, and confronting barriers.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".