Interactive documentaries and the connected viewer experience: Conversations with Katerina Cizek, Brett Gaylor, Jeff Soyk, and Florian Thalhofer
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
In recent years, technological advances have allowed the Internet to radically affect media creation and viewers’ media consumption habits. In order to assess the current and future state of the interactive documentary genre and the connected viewer experience, we interviewed four influential creators in the field: Katerina Cizek, Brett Gaylor, Jeff Soyk and Florian Thalhofer. The questions that they answer further our understanding of the possibilities and limits offered by the interactive documentary format; of the impact of the medium on the connected viewer experience and its effect on the relationship between viewers, media content and access. The interviews also provide insight to their backgrounds as creators. We conclude with an assessment of the industrial landscape of the field and how it may favor a certain category of consumers.
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 | 0.000 | 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 | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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