Understanding the Consumption of Television Programming: Development and Validation of a Structural Model for Quality, Satisfaction and Audience Behaviour
Bibliographic record
Abstract
Within a nowadays context characterised by an increasing number of television channels and by a widely fragmentation of the audience, the study of television content from the consumer’s perspective acquires special interest for managers of television stations. This paper, given the aforementioned reality, analyses and identifies the relationship structure that underlies the constructs of satisfaction and quality in order to gain a more in-depth understanding of the behaviour of television consumers. The methodology applied is structural equation models and results clearly show a causal link between the variables and confirm the predictive validity of the proposed model. This work provides a framework of reference for developing a cognitive-affective model for the consumption of television programmes, thereby integrating perceived quality as a cognitive variable and satisfaction as an affective variable. The results of the work provide a more in-depth understanding of a television consumer’s behaviour, and they can therefore help to increase the effectiveness of actions by television advertisers and programmers, thereby allowing television stations to improve their results.
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 | 0.002 | 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".