Celebrity-Persona Parasocial Interaction Scale
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
The celebrity-persona parasocial interaction scale (CPPI) is designed to measure how media consumers form parasocial relationships with celebrities or popular fictional characters. A parasocial relationship is defined as an imaginary interpersonal relationship between a media consumer and a media persona (Horton & Wohl, 1956). Persona can be real people, such as actors, athletes, and performing artists; or they can be fictional characters, such as Susan in the television serial Desperate Housewives, a character played by actress Teri Hatcher, or Indiana Jones, a character in the film, Raiders of the Lost Ark, played by actor Harrison Ford. The CPPI is derived from several other published parasocial action scales, including Rubin, Perse & Powell (1985), Cole & Leets (1999), and Auter & Palmgreen (2000). While most parasocial interaction scales are designed to measure the strength of parasocial relationships that develop through television viewing, the CPPI is particularly targeted to celebrities whose exposure far exceeds television programs alone.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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