Educational Epidemic: A Study of the Academic Underachievement of Luso-Canadians
Bibliographic record
Abstract
The Luso-Canadian community has been subject to a multitude of unfortunate social injustices since the initial waves of mass migration between the 1950’s and 1970’s. A community which has historically contributed greatly to Canadian society, has been marginalized intergenerationally in both the academic and professional realms of Canadian society. The Luso-Canadian community, specifically in Toronto where the highest concentration resides, has historically been marked by high drop-out rates, overrepresentation in special education and remedial reading programs, and extremely low rates of post-secondary education. These barriers early in life have been identified by numerous sources as being the cause for various subsequent issues the Luso-Canadian community has faced including vast underrepresentation in other professional spheres of Canadian life. While numerous causes can be identified to explain the reasoning for these injustices, it is clear that legislative actions by the school boards and board of education must be taken to battle this issue and ensure that Luso-Canadians fulfill their full potential.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".