Secret disclosure and social relationships in groups
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
Personal secrets are a ubiquitous fact of group life, but the conditions under which they are revealed have not been explored. In five studies, we assessed secret disclosure in groups governed by four models of human sociality (Communal Sharing, Equality Matching, Authority Ranking, Market Pricing; Fiske). In Studies 1a and 1b, participants indicated their willingness to disclose secrets in hypothetical groups governed by the models. In Studies 2a and 2b, participants rated how much a group in which they disclosed secrets or nonsecrets is governed by the models. In Study 3, participants indicated their disclosure of various types of secrets in Communal Sharing and Equality Matching groups to which they belonged. Across studies, disclosure was most strongly associated with Communal Sharing, followed by Equality Matching. Study 3 further showed that identity fusion predicted disclosure in these two kinds of groups. Implications for understanding disclosure of personal secrets in group contexts were discussed.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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