Multisystemic Resilience: Learning from Youth in Stressed Environments
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.
Bibliographic record
Abstract
Youth resilience is the product of multiple systems. Still, the biological, psychological, social, and environmental system factors that support youth resilience are incompletely understood. How these factors interact, and the situational and cultural dynamics shaping their interconnectedness, are also under-researched. In response, we report a multi-site case study that is instrumental to understanding multisystemic resilience. It draws on the insights of 52 youth from stressed, oil and gas communities in South Africa (13 young men; 8 young women; average age: 20.28) and Canada (19 young women, 12 young men; average age: 20.77). Deductive and inductive analyses show that youth resilience is informed by a biopsychosocial-ecological system of interacting resources that fit situational and cultural dynamics. This has implications for society’s championship of youth adaptation to stressed environments, including less emphasis on individual resources and more on contextually responsive, systemic changes that will facilitate meso- and macro-system resistance to significant stress.
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 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 | 0.000 | 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 it