Psychogeography as Social Activism in Katerina Cizek’s Digital Documentaries Highrise, The 1000th Tower and Out My Window
Bibliographic record
Abstract
With the rapid emergence of new digital technologies and social media platforms, documentary filmmaking is undergoing significant shifts globally and the works of Canada’s NFB Interactive program are at the forefront of innovation in the international sphere. By experimenting with new forms, Katerina Cizek’s interactive documentaries, Filmmaker-In-Residence, and the multi-year, many-media project Highrise have revitalized the participatory production process pioneered in the 1970s by the NFB, using “Interventionist Media” to empower marginalized communities and effect social change. In positioning traditional documentary subjects as collaborators, Cizek’s work challenges existing social models and dominant or media representations of at-risk and low-income communities, creating platforms for individuals to tell their stories as counters to official constructions of these often underrepresented neighbourhoods. In doing so, Cizek’s interactive documentaries lay a claim to what David Harvey has termed “the rights to the city” of all inhabitants. And although the use of digital technologies raises questions as to access and equity in the digital divide, her projects address this tension directly often working with government and community members to effect change in urban policy and planning. This essay examines how these works rewrite History within the context of the Social Web as an ongoing participatory narrative.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.036 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".