En descenso de lo global a lo local: Una perspectiva desde la región atlántica de Canadá Education, social justice and place: A multi-scalar view from Canada
Bibliographic record
Abstract
While education has for many years been a state project, its governance has tended to be located at the local or regional (state and provincial) level in North America. Recent trends signalling the globalization of educational discourse have generated tensions in educational governance and analysis around the world. The emergence of global metrics such as the PISA and TIMSS allow for the comparison of different educational systems and the creation of a transnational educational arena. This paper looks at a particular educational micro geography of three schools in Atlantic Canada and argues that national data do little to describe, support or analyze educational performance or to understand social complexity in real places. The irony is 1 Este manuscrito se ha basado en la presentacion del simposio WERA, presentado ante la Sociedad de Investigacion Educativa Peruana (SIEP) en Lima-Peru el 15 de setiembre de 2012. I 7 en descenso de lo global a lo local: una perspectiva desde la region atlantica de canada that these macro level analyses end up driving educational policy which is experienced fundamentally at the local level. In the case of the economically disadvantaged region like Atlantic Canada, underperformance is predictably chronic. I suggest that more attention to place-sensitive educational policy and practice is needed both for student success and for more productive linkages between economic development and education.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.025 | 0.015 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".