Proximal Effects of Dependency and Self-Criticism: Conceptual and Methodological Challenges for Depressive Vulnerability Research
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
Research and theorizing on vulnerability to depression has expanded considerably in the past 40 years. However, there are a number of challenges and opportunities that cannot be adequately resolved or fully exploited within models of vulnerability that are typically investigated. Continued progress in understanding the link between vulnerability factors and mood depends on a fuller understanding of depressive vulnerability factors themselves. Understanding the proximal effects of vulnerability factors on both mood and behaviour requires methods and analytic models capable of examining moment to moment changes as well as an understanding of what underlying needs stressful life events and difficulties may threaten. Conceptualizing vulnerability factors more broadly in terms of ethological models focusing on social rank and attachment offers a number of useful avenues along which vulnerability theory may be expanded.
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 | 0.000 |
| 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