The Role of Education for Democracy in Linking Social Justice to the ‘Built’ Environment: The Case of Post-Earthquake Haiti
Bibliographic record
Abstract
The manner in which the built environment is constructed has a tremendous effect on the degree to which health, wealth and social outcomes are distributed within a society. This is particularly evident when a crisis of the natural environment affects the built environment, as was the case after the Haitian earthquake of 2010. Understanding the consequences of the earthquake as socially precipitated rather than a natural occurrence requires a paradigm shift, a project for educational policy, pedagogy and epistemology. In particular, education for democracy in its broadest sense can serve to re-align thinking towards understanding the connection between the built environment and social justice. In this article the authors present their research with teacher-education candidates and the candidates' perspectives and experiences of education for democracy at a Canadian university. In relating these perspectives to the possibilities for contextualizing the aftermath of the earthquake in Haiti, the authors propose educational policy solutions that highlight a thick democracy, social justice, the role of context and history, and a more concrete connection with public health.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.041 | 0.033 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".