Moving Science Classes to the Community: A Question of Social Justice.
Bibliographic record
Abstract
Research Council of Canada launched a pilot program, Centres for Research in Youth, Science Teaching and Learning, to provide a forum for those individuals and organizations interested in developing and enhancing the skills of, and the resources available to, science and mathematics teachers. It attempts to address a decades-old, recurrent problem: Despite the tremendous efforts that have gone into improving the teaching of science since the 1960s, in Canada and around the world, there continues to be a dearth of students who enrol in science-related careers. Many educators and policy makers argue that science literacy and numeracy are vital skills for successfully participating in the economy of this century. But how do we increase the levels of scientific literacy, let alone make science a subject for all students, when the subject matter itself has been keeping students away?
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 | 0.020 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.067 | 0.049 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.005 | 0.018 |
| Research integrity | 0.020 | 0.025 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".