Resisting the Hidden Curriculum: Teaching for Social Justice
Bibliographic record
Abstract
This article describes and discusses a collaborative teaching experiment in criminal law undertaken by three teaching colleagues in the first year program at the University of Ottawa. Responding to a sense of collective dissatisfaction with ongoing attempts to integrate critical perspectives into traditionally structured criminal law courses, and wanting to try something different from within a safe collaborative space, we decided to design and deliver a criminal law course with overtly progressive goals. The course was deliberately targeted at creative students who see the law as a vehicle for social justice, was purposely constructed to actively support students in retaining their incoming commitment to social justice lawyering, and was intentionally non-traditional in its content, structure, delivery, and evaluation. The article offers our perspectives on the experiment. We situate the course within the larger context of legal education, the first-year curriculum, criminal law teaching and scholarship, and professional socialization. The content and delivery of the course was linked to the three overarching objectives of first-year courses: 1) the introduction of a substantive subject area; 2) the introduction of legal reasoning, the nature of law and the legal system; and 3) the exploration of professional identity and purpose. The article examines each of these objectives from both a theoretical and practical perspective and connects each objective with course delivery choices and strategies. It concludes with personal reflections on the strengths and weaknesses of this ongoing teaching initiative.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".