Perceived social network support and well-being in same-sex versus mixed-sex romantic relationships
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
A theoretical model was tested, in which better perceived social network support specifically for a romantic relationship was hypothesized to predict higher relationship well-being which, in turn, would predict more positive mental and physical health outcomes for relationship partners. Furthermore, the model was tested on participants in both same-sex (i.e., homosexual, n = 183) and mixed-sex (i.e., heterosexual, n = 275) relationships. Structural equation modelling indicated that the hypothesized model did fit the data very well; furthermore, no differences in model fit were found between the two relationship groups. Support specifically for the relationship remained a highly significant predictor of the outcome variables, even when general social support and support for one's sexual orientation were controlled.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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