Podium Session 1: BPH, GU Trauma and Reconstruction, Neurogenic Bladder, Urinary Incontinence and Voiding Dysfunction, Pediatrics
Bibliographic record
Abstract
Introduction: Adolescent males are particularly prone to testicular torsion and subsequent orchiectomy.Early identification and presentation are critical for testicular salvage.A lack of knowledge about testicular pathologies, in particular torsion, as well as hesitancy to discuss genital concerns are fundamental, preventable barriers to presentation.We hypothesized that a social media campaign to improve awareness and knowledge of torsion and other urological conditions may overcome such barriers in this population.Methods: A social media campaign, "Teste Talk," was created and promoted on Instagram and Facebook.Data was collected fporom June 1 to December 1, 2021.Instagram followers, Facebook page likes, Instagram and Facebook reach, post likes, and Instagram follower data were reviewed.Data was collected using the Facebook Business Suite.Paid promotions to improve awareness of the campaign were targeted towards 13-18-year-old males in Alberta and were funded by the Undergraduate Research Initiative Support Fund.Results: The campaign reached 30 655 Instagram accounts and 20 114 Facebook accounts.The Instagram page amassed 369 followers, while the Facebook page gained 96 likes.Paid advertisements were seen 81 136 times on both platforms.All posts were liked 1229 times, commented on 342 times, and shared 1239 times across platforms.Instagram demographics indicated a 54% male to 46% female following.Of the 59% of followers living in Canada, 37% lived in Edmonton.Conclusions: Testicular torsion remains a significant issue among adolescent males, and creative ways to disseminate information and increase knowledge about testicular pathologies are needed.Lack of knowledge in this group contributes to delays and increased risk of orchiectomy.To evaluate our intervention, we will measure orchiectomy rates in Edmonton before and after Teste Talk was introduced to determine if the campaign was effective in reducing rates of delayed presentation and orchiectomy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.277 | 0.048 |
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".