A Hyperlocal Manifesto: Exploring Hyperlocal Publics Through the Little Mountain Housing Project, Social Video Advocacy and Web Documentary
Bibliographic record
Abstract
I launched The Little Mountain Project as a response to the eviction and destruction of a social housing community in Vancouver, Canada. Utilizing hybrid digital media practices, my work encourages citizens to meet and participate in democratic processes. The main components of this new media exploration consist of a blog and video archive, a multi-platform signage project, and a collaborative community web history project. This paper documents the development of a methodology for an innovative documentary practice – a hyperlocal web-based strategy – to empower a counter public and to facilitate community dialogue around rapidly evolving civic processes. I situate my practice within a critique of neoliberalism, the idea of the “public sphere,” and the history of advocacy and activist filmmaking in Canada, in particular, the National Film Board of Canada’s “Challenge for Change Program,”1 a ground-breaking experiment in the use of film for the purpose of social activism. The Little Mountain Project aims to explore new forms of social, political, and cultural production within emergent practices enabled by web-based media, which propose new ways to facilitate dialogue within the public sphere.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.022 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".