Bibliographic record
Abstract
My thesis project, titled What Happyns, is a video documentary, approximately 45 minutes in length, comprised largely of interviews recorded with attendees at the Stanley Park Lawn Bowling Club and the Plaza Skateboard Park, both located in Vancouver, B.C. This paper identifies three documentary film histories—the ethnographic, the quotidian and the essay— that have informed my project. A number of definitive filmic works within these histories are discussed in relation to the project, most importantly Chronique d’un été and Le joli mai. Other important context is provided by the work of Errol Morris and Ross McElwee, as well as by Michael Apted’s Up Series. The role of the interview in documentary film is examined, as are the key concepts around which What Happyns was constructed: our collective conception of happiness, especially its recent manifestation in the field of Positive Psychology, and Laura Rascaroli’s notion of the “interstitial space” as it is created by the deployment of voice-‐over in an essay film. Emphasis is lent throughout to the emergent process often involved in the making of documentary films, and the thesis project is viewed, in conclusion, mainly as an essay film.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".