Bibliographic record
Abstract
Digital media make it possible to move from a conventional storytelling medium to other avenues that allow open stories to be told, maintaining the traditional basis of narratives while also adding other elements that enrich and deepen storytelling innovation. Therefore, it is important to analyze how the characteristics of digital storytelling work together in order to create meaning through new narratives. Recent documentary projects show how new ways of telling stories involve new ways of relating meaning and form, multiple platforms, and strong interaction and engagement from the side of the viewer. Interactivity and participation change the way in which a story is told and received, thus changing its nature as a narrative. To delve deeper into this field, I will analyze Highrise. The Towers in the World. World in the Towers, (http://highrise.nfb.ca) by Katerina Cizek. This is a complex project produced by the National Film Board of Canada, a multiyear, many-media collaborative documentary experiment that has generated many projects, including mixed media, interactive documentaries, mobile productions, live presentations, installations and films. I will develop a textual analysis on part of the project, the interactive documentary Out My Window, by focusing on its ways of meaning-making and the specific narrative implications of the relationship between meaning and form. The project is ambitious: Cizek's vision is "to see how the documentary process can drive and participate in social innovation rather than just to document it, and to help reinvent what it means to be an urban species in the 21st".
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.054 | 0.011 |
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 source (direct Gemma or distilled Codex), 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".