At the head of the class: Learning from education research in an information age
Bibliographic record
Abstract
This thesis examines ongoing debates around educational technology within Canadian schools, and advances methodological recommendations for additional education research in the social sciences. By focusing on teachers, students, and Canadian society at large, education researchers can question ideologies of the Information Age and help develop curricula that are both democratic and sustainable. The relationship between education and the economic sector must be investigated and critiqued; deterministic ideologies, be they technological or economic, threaten the sustainability of public education in Canada. Education research investigating educational techn ologies should also consider cultural discourses surrounding computer technologies, particularly those associated with youth culture. Finally, this thesis proposes various methodological frameworks for future research. The social sciences must play the pivotal role in strengthening public education, and the field of Communication is ideally positioned to explore the impacts of the Information Age on Canadian schools.
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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 | 0.029 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.046 | 0.067 |
| Scholarly communication | 0.028 | 0.017 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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".