Television Co-Viewing in Mexico: An Assessment on People Meter Data
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
Abstract Television co-viewing is a frequent behavior with important social and economic implications. This study proposes a measure of co-viewing on people meter panel data, tests it on a data set in Mexico, and uses it to explore co-viewing. Individual differences in psychographics, program genres and co-viewing of the lead-in programs were discovered as antecedents to co-viewing. Results indicate as well that co-viewing leads to increased watching time and reduced channel browsing, and this effect interacts with group composition. These findings provide further support for the social uses of television theoretical framework, and shed light on the inheritance effects in continuous programs. Notes The authors wish to thank IBOPE-AGB Mexico and SSHRC Canada for supporting this research, and Rachel M. Altman for suggesting the QL estimation method. *p < .05 **p < .01 ***p < .001. *p < .05 **p < .01 ***p < .001.
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 | 0.006 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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