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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".