Events That Matter: Specific Incidents, Media Coverage, and Agenda-Setting in a Ghanaian Context
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
Traditional agenda-setting research has convincingly demonstrated that the media's agenda influences the public's agenda in a somewhat linear fashion. Following from that, agenda-setting researchers are now investigating the attributes of culturally specific agendas. Their studies provide insight into what appears to be a complex process that may be affected by factors beyond those already documented. This paper similarly examines the intricate connections between media, specific events, and agenda-setting in Ghana. In this context it considers two specific events with significant sociocultural implications - events that were framed by the media to produce agenda-setting effects. The paper argues that the media's framing of those events provided their audience with certain ready-made patterns of cognition, thereby enhancing the possibility of agenda-setting.
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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 | 0.002 | 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 | 0.001 | 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 it