Bibliographic record
Abstract
The book puts together for the first time valuable updated information that looks at children’s television from its early days up to the current digital age, with its vast digital media offerings and availability. It offers new insights about a central children’s media culture and focuses on non-Anglo-American television histories. Thus, readers interested in understanding past to present, local and global processes in children’s television, would be able to find it in one book. Scholars, students, and professionals working in the field of children, as well as everyone concerned with children’s culture will find a great diversity of knowledge about the cultural, social, political, and economic contexts of programs with which they and their children have grown up. This edited book is based on a collective effort of researchers and professionals dedicated to compiling the stories of children’s television around the world. With 12 national chapters, the book includes historical accounts of children’s television from the following countries: Australia, Brazil, Canada, China, Ecuador, Germany, India, Israel, Italy, Kenia, Netherlands, and the United States. It provides an exploration of each individual country, revealing striking similarities and differences which are discussed in depth in the final chapter. Looking at the global field through local eyes––its main texts and active players (broadcasters, producers, and creators, as well as regulators and policy makers), their ideologies, financial prospects, and perceptions of childhood––offers a macro-level evaluation of an entire cultural field. This is a valuable picture, as it also provides a contextualized perspective for reflection in any micro-analysis of specific programs.
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 | 0.000 | 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 | 0.000 | 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 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".