Bibliographic record
Abstract
Christian entertainment. While this notion is an oxymoron to many, it is no longer a foreign concept to the world of business and finance. Largely ignored in the past, this growing sector of the entertainment industry has begun to garner significant appeal with the public, and thus has attracted increased media attention–both mainstream and Christian, both positive and negative. What makes this industry entirely unique is that it is indeed both “Christian” and “entertainment,” and both elements must function with equal effectiveness for the industry to thrive. This study chronicles a decade of challenge for this industry, involving scandals and buyouts, and examines the traumas and triumphs of PR professionals faced with potentially catastrophic situations. The intent of this project is to emphasize that the industry role of public relations was so in tune with calamity that it acted routinely, responsibly, and effectively to help diffuse each circumstance presented.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.025 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".