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
This article reviews the relationship between factors associated with resilience, and aspects of the individual's social ecology (environment) that promote and protect against the negative impact of exposure to traumatic events. It is shown that the Environment × Individual interactions related to resilience can be understood using three principles: (1) Resilience is not as much an individual construct as it is a quality of the environment and its capacity to facilitate growth (nurture trumps nature); (2) resilience looks both the same and different within and between populations, with the mechanisms that predict positive growth sensitive to individual, contextual, and cultural variation (differential impact); and (3) the impact that any single factor has on resilience differs by the amount of risk exposure, with the mechanisms that protect against the impact of trauma showing contextual and cultural specificity for particular individuals (cultural variation). A definition of resilience is provided that highlights the need for environments to facilitate the navigations and negotiations of individuals for the resources they need to cope with adversity. The relative nature of resilience is discussed, emphasizing that resilience can manifest as either prosocial behaviors or pathological adaptation depending on the quality of the environment.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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