How has the use of Cannabis affected the Brains of Adolescents from Grades 7-12
Bibliographic record
Abstract
Due to the legalization of Cannabis in Canada adolescents risk using it too early and affecting their brain development early on. Adolescents from grades 7-12, both male and female, can be affected differently. Using existing data from previous research can show us if cannabis use in adolescents can affect their brain development. Using different methods such as existing data, survey research, and field research can give us an excellent example of how often children are using Cannabis. Where are they getting it from, when did they start using Cannabis, and if the adolescent using Cannabis or not? The expected results of this research should show us that Cannabis is profoundly affecting brain development, making children react slower, not retain information, and not be as attentive as someone who is not using Cannabis. Some implications from this research could positively affect adolescent brain development, for example, adolescents paying more attention in class.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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".