Bibliographic record
Abstract
Society somehow still looks upon mental illness as a form of madness. It stigmatizes how mental illness prevents people from advocating for themselves and prevents them from getting the resources they need. We wanted to create a voice for those with mental illness through a short film. We want to tell a story that continuously opens conversations and creates a safe environment to get help. The story takes place on a journey through Catherine’s day to day life. Catherine is an ordinary girl, but she is suffocating from the constant pressure of a secret that’s eating her away. As seen through various flashbacks through her painful experiences, we see a breaking point that scares not only herself, but her friends and family as well. Catherine is batting an illness she cannot control or explain. At the end of the film, through the audience’s perspective, they find out the pain and anxiety that is haunting Catherine. The ending shows Catherine, now in her bedroom, three weeks later; she is visibly ill, through her frail physical appearance. The film then starts to explain Canadian statistics in anxiety, depression, and schizophrenia (the three mental illnesses she has been battling since the age of 14). She explains what it feels like to endure these illnesses, and the film ends with her just wanting to breathe as she gasps for air. The goal of our short film is to let the audience understand that mental illness happens so often. It can trigger anyone with traumatic past events. This film is needed because in this day and age, many films are lacking the authenticity of telling raw stories of mental illness. Resources are there, but access to them is so often discouraged by others. We want to tell those who are affected that it is okay, and we are here for you!
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".