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
Abstract It is widely recognized among state leaders and diplomats that personal relations play an important role in international politics. Recent work at the intersection of psychology, neuroscience, and sociology has highlighted the critical importance of face-to-face interactions in generating intention understanding and building trust. Yet, a key question remains as to why some leaders are able to ‘hit it off,’ generating a positive social bond, while other interactions ‘fall flat,’ or worse, are mired in negativity. To answer, we turn to micro-sociology – the study of everyday human interactions at the smallest scales – an approach that has theorized this question in other domains. Drawing directly from US sociologist Randall Collins, and related empirical studies on the determinants of social bonding, we develop a model of diplomatic social bonding that privileges interaction elements rather than the dispositional characteristics of the actors involved or the material environment in which the interaction takes place. We conclude with a discussion of how the study of interpersonal dyadic bonding interaction may move forward.
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) | 0.000 | 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) | 0.010 | 0.002 |
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