Imaginary Realities : Authenticity, Perspective and Framing Truth(s) in Hollywood North
Bibliographic record
Abstract
Everything is embedded with meaning and landscapes are no exception. Landscapes can be read, like images and texts, to tell or support different narratives. Each narrative inherently supports certain reality(ies) while denying others. This thesis is interested in how landscapes can be imbued with different narratives and the impact of the narrative(s) on the societies that interact with them. It uses the conduit of film-induced tourism to address this question. Vancouver is the shooting location for many film and television series. These productions are consumed by, and affect viewers around the world, yet few people know the origin of the images they are consuming and no trace of the production is left once the ephemeral film set wraps shooting. There is currently no consideration of the social and long-term effects of filming on the site. This provides a rich cultural opportunity to commemorate these histories with an intervention that socially and economically benefits the community and tourists alike.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".