Adult attachment and engagement with fictional characters
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
Adult attachment influences how people engage with stories, in terms of how immersed or transported they become into these narratives and the tendency to form close bonds with characters. This likely stems from the ability of stories and story characters to provide interpersonal intimacy without the threat of rejection. In Study 1, we expand on this work to examine how attachment relates to two previously uninvestigated aspects of character engagement: character identification and parasocial interactions. Taking a statistically conservative approach, controlling for broader traits, we demonstrate that the attachment dimensions of anxiety and avoidance differentially predict these forms of character engagement. A high-powered, pre-registered, Study 2 follows up on these results by examining the types of characters that are most appealing, based on one's attachment orientation. Together, these studies demonstrate that attachment plays an essential role in both how we engage with characters and the types of characters to whom we are attracted.
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 | 0.001 | 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) | 0.002 | 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