Bibliographic record
Abstract
Distributed by Good DocsProduced by Carmen Vincent and Heidi ReinbergDirected by Carmen Vincent2022, Streaming, 28 mins Thomas Felter, the father of Emily a young person with Down Syndrome, has tailored a training for first responders titled "Emily Talk", emphasizing the significance of exercising patience in their interactions with individuals with disabilities; he himself is a first responder. Upon hearing numerous accounts of first responders making rash decisions and forming judgments regarding individuals with disabilities, resulting in avoidable tragedies like the death of Ethan Saylor, who like Emily had down Syndrome, Tom Felter became motivated to take action. This short 30-minute documentary shows some of that training, but more importantly, it shows Emily in her day-to-day interactions with her family, living, loving, and sometimes using pretty colorful language. She is portrayed in the film, not as someone to pity, but as someone who has a multifaceted personality, a sense of humor, and who has good days and bad days- like all of us. A notable aspect of the documentary is the family and Vincent's willingness to candidly portray challenging moments when their efforts to communicate with their daughter prove to be unsuccessful. Sometimes uncomfortable to watch, but necessary to get a full look into what it is like for the Felter's to parent Emily. We see the family use the term "Emily's Time" for when Emily wants to do something, when she wants to do it, on her own timeline. This in the disability studies field could also be referred to as crip time. And the examples shown, like her impromptu trip to Red Robin, illustrates this use of crip time. At times it also shows that even Tom as the "expert" needs reminding on how to best interact with Emily, and to exude some patience himself. During one Emily Talk, he gets frustrated at Emily for not understanding her, and Emily's mom chimes in with "Let her be, practice what you preach." This documentary can be an educational resource to first-responders, or anyone who would need to be able to communicate with people with disabilities, especially in emergency situations. It could also ignite thoughtful conversations about disability, inclusivity, fairness, and access in disability studies, psychology, social work, and teacher prep programs. There are a few instances of adult language. The film is appropriate for public and academic library collections. Awards:Canadian Shorts Film Festival, 2022 Winner Award of Excellence; Prospector International Film Festival,2022 Winner Best Documentary Short; Stockholm City Film Festival, 2022 Winner Best Documentary Short
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.222 | 0.083 |
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".