Youth in Policing Initiatives and the Forest City Film Festival
Bibliographic record
Abstract
This is a presentation about my EL experiences that took place throughout 2021. Firstly, I discuss my time as a coordinator in a program run by the Ottawa police called the Youth in Policing Initiatives program or the “YIPI” program. The YIPI program is a program for youth in high school and serves two main purposes: 1) to foster good relationships with the police and 2) to spark an interest in policing in youth. In this role, I helped out at a summer camp for underprivileged kids, as well as assisted my supervisors and police officers on group days which were different from week to week. My second EL credit was earned as a blog writer for a small film festival in London called the Forest City Film Festival (FCFF). My duties with FCFF consisted of watching lots of films, conducting interviews with filmmakers, and most notably writing blog posts which served as advertisements for certain films or collections of films. All of this was done leading up to the festival week, where I helped out at the festival by wiping down seats in between screenings, greeting guests, and doing similar mundane but critical tasks such as these.
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".