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
In past research, nature connectedness has been associated with higher levels of psychological health (Howell, Dopko, Passmore, & Buro, 2011), and meaning in life (Howell, Passmore, & Buro, 2013). Eco-anxiety, or the experience of anxiety in relation to global climate change, has not been studied previously in relation to nature connectedness, meaning in life, or psychological well-being. Moreover, no prior research has examined implicit theories of environmentally responsible behaviour (ERB); that is, fixed and growth mindsets regarding one’s ability to engage in ERB. In an ongoing study with undergraduate participants, we hypothesized that nature connectedness and fixed mindsets regarding ERB would predict eco-anxiety which, in turn, would predict low meaning in life and low well-being. Results showed a strong positive correlation between eco-anxiety and total nature connectedness. When correlated with the nature connectedness subscales, eco-anxiety was significantly associated with the self and perspective subscales, but not the experience subscale. In addition, eco-anxiety did not significantly correlate with the remaining variables. Implications of the findings are discussed. Faculty Mentor: Andrew Howell Department: Psychology
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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