Lovesick : a short documentary film investigating the changing environment and landscape of a small Canadian lake
Bibliographic record
Abstract
The short documentary film, Lovesick, explores the changing environment and landscape of a small Canadian lake through the testimonies of the people who live on its shores. Lovesick Lake is one of the smallest bodies of water along the Trent-Severn canal system – a waterway that connects Lake Huron to Lake Ontario. What once was a prosperous region used by Canada’s First Nations people for hunting and fishing, is now a popular location for summer cottages and resorts. Over the last 60 years, shoreline development has increased exponentially while the health of the lake and surrounding land has declined as a result. Now, the lake and local communities face an uncertain future as new vacation developments are being proposed. The film asks: At what cost does Canada’s cottage country come? Lovesick is a response to the materialistic thinking of Canadians and the land that many people take for granted. It aims to enlighten viewers in the hopes that they begin to question the space they occupy and encourage them to respect the delicate balance between nature and humankind. While cottage country is primarily an Ontario lifestyle, Lovesick is a microcosm that aims to shed light on development of natural areas all over North America – and the detrimental effects development can have on the ecosystem.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 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".