Protecting Freedom of Expression in Multicultural Societies: Comparing Constitutionalism in Indonesia and Canada
Bibliographic record
Abstract
This paper explores the similarities and differences in Indonesia and Canada regarding the constitutionally protected freedom of expression. While one may expect that both countries do not have much in common from a general standpoint, both do have several similarities in their approach to the interpretation and application of that freedom. The exercise of freedom of expression is also examined through the spectrum of jurisprudential examples from both countries, more specifically in the context of ‘hate speech’, ‘artistic expression’ and ‘language expression’.In addition, the social reality of both countries underlying the freedom of expression is uncovered. Further, the limitations imposed in both countries on that fundamental freedom are also discussed. Learning from the exercise that consisted in this paper to compare relevant laws of two countries, and despite the differences between their respective legal traditions, this study argues that freedom of expression, in two different countries such as Indonesia and Canada, can play a more effective role in a society with a multicultural character that complies with the rule of law.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".