Bibliographic record
Abstract
This article examines U.S. network television news coverage of seven political/military crises occurring in the Caribbean Basin. It first documents the extent to which women are involved in covering these crises. In line with existing research, women are found to be underrepresented in all major aspects of on-air media coverage. The article then explores the impact of this under representation on the actual content of media reporting. There is, at the very least, a possibility that those doing the reporting affect the content of the report, as well as who is chosen as a news source, either on-camera and/or quoted. The article examines this question using the technique of “paired comparisons”;specifically, it compares news stories dealing with four of the crises filed from the same location, on the same day, by male and female reporters representing at least two networks. The major finding of this research is that while there are subtle differences in the way in which male and female reporters frame stories, there is a broad consistency in male and female reporting. It is the case, however, that female anchors and reporters are slightly more likely to use female sources in their stories.
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 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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".