Bibliographic record
Abstract
Marley’s Journey is a short documentary about a 3 year-old girl named Marley Bechard who has Angelman Syndrome. Angelman syndrome is a genetic disorder which causes developmental disabilities, neurological problems and sometimes, seizures. 1 in 15,000 children in Canada are diagnosed with Angelman Syndrome. It a very rare syndrome that not many people are aware of. Although extensive research is being done, there is still no cure for Angelman. Therefore, this documentary was made to bring awareness to Angelman Syndrome and share the struggles and triumphs that Marley and her family face. Qualitative research was done in the making of this documentary. Organizations such as Canadian Angelman Syndrome Society and interviews from Marley’s parents, neurologist, and speech-therapist helped in providing valuable information on the syndrome. The method used in creating the documentary was detailed storytelling and using the right music to make scenes more impactful. Marley’s Journey was filmed in a month using film equipment. A documentary works in raising awareness about Angelman Syndrome because it allows us to teach the audience what Angelman Syndrome is through Marley and her family. Furthermore, a documentary can be shared easily though social media such as Facebook and Youtube, which makes it easy to reach a large audience. Observations from posting the documentary online and showcasing it to audiences were many individuals were now informed of what Angelman Syndrome is and aware that donations are needed to find a cure. It is hoped that this film will bring awareness to Angelman Syndrome and encourage all who watch it to donate to foundations raising money to find a cure for individuals with Angelman Syndrome, also known as Angels. A question for further research would be to ask doctors and researchers how close they are to finding a cure for Angelman Syndrome.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.055 | 0.013 |
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".