Be a computer scientist for a week the mcgill “game programming guru” summer camp
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract- Motivating high school students to consider Computer Science as their future field of study at the university level is a challenging endeavor. This paper describes the McGill Computer Science Summer Camp targeted at high school students from grade 10 to 11 (ages 15 to 17). We first motivate our choice of using computer games as the main camp theme, and then present the teaching methodology used throughout the camp. A day-by-day breakdown of the camp is provided, as to better illustrate the distribution of the material throughout the week and the evaluation methods used to track the progress of the students. We also present the game environment we developed in which the students exercise their problem solving skills during the lab sessions. We conclude by illustrating the positive effect of the camp, using a combination of code analysis and evaluation questionnaire filled out by the students and their parents. Index Terms- About four, alphabetical order, key words or
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.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it