Bibliographic record
Abstract
Media is a powerful tool for socializing society about norms. Media portrayals of LGBTQ+ narratives often reinforce heteronormative ideals in society. Lack of representation or narratives that exploit the trauma of LGBTQ+ characters can lead to associations of queerness with negative outcomes and unhappiness. However, LGBTQ+ narratives that focus on the joy and happiness between characters can serve as a catalyst for acceptance. As such, it is important to celebrate and highlight series like Schitt’s Creek which intentionally show the tenderness, happiness, acceptance, and love of LGBTQ+ characters. The centre of the hoop is the hand embroidered image from the show's billboard. In an interview, Daniel Levy, the co-creator of Schitt’s Creek, shared that he wanted to do something bold for the final season and that his younger self would never have dreamed of seeing a billboard with two men kissing. Many fans have taken photos in front of the billboard to share their acceptance and celebration of queer love. When young sunflowers grow, they turn towards the direction of the sunlight during the day and reverse course at dawn so they are ready for morning. A study by Harmer in 2016 found that restricted sunflowers that were unable to turn were smaller in size and had fewer petals. In the same way, lack of positive LGBTQ+ narratives negatively impact the lives of LGBTQ+ people. Here, the border of sunflowers represents a collective turning towards LGBTQ+ joy, health, and happiness. When we celebrate and support positive and healthy LGBTQ+ media representations, like the sunflowers in sunlight, we can all flourish and grow. Presented in absentia on April 27, 2020 at Student Research Day at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor: Katie Biittner Department: Gender Studies
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".