Radio programming: Station format and alternative models of the audience in the U.S.‐Mexico border region
Bibliographic record
Abstract
Abstract The article analyzes the use of radio “classified‐ad” shows for the sale of goods and services. The article finds that in commercial radio, some Spanish language radio stations (SLRS) program communicative opportunities for listeners in the form of “classified‐ad” type shows on a regular basis. The article presents two significant finding: first, that program format decisions are organized by the “model of the audience” that station personnel hold. The SLRSs studied hold a “participatory model” of the audience. The article distinguishes different models of the audience and indicates how the models summarize radio station personnel perspectives and behaviors surrounding program choice. The second finding is that proximity to the U.S./Mexico border produces variation in “classified‐ad” type shows. The local variation (in El Paso, Texas, Tucson, Arizona and Albuquerque, New Mexico) in the organization of these programs is described and explained according to the mutual needs and purposes of the local community and the radio station. The article concludes with a research agenda that flows from this initial investigation.
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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 | 0.001 |
| 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".