Expanding the Scope of Educational Policy in a Neoliberal Era: Politics, Socio-Economic Policies, and Media
Bibliographic record
Abstract
Educational policy in Canada is commonly considered to be bounded by the concerns of schooling.Jean Anyon's (2005) influential analysis of inequitable educational outcomes in relation to economic policy and change drew needed attention to the embeddedness and complexity of educational policy.Anyon highlighted the need to forefront social (in) equities in relation to educational policy, and in doing so expanded the scope of educational policy to engage social and economic policy and its historical, social and political formation.The articles in this Autumn issue of the Canadian Journal of Education (CJE) each take up their analysis of critical educational issues in this spirit.We are grateful to noted scholar Carl James for accepting our invitation to expand his invited 2023 Plenary Lecture at the Canadian Society for the Study of Education (CSSE) Conference held at York University at the Congress of the Federation of Humanities and Social Sciences (FHSS) for this issue of CJE.James' article What did the multicultural policies of the last century promise that need to be re-imagined in today's DEDI post-secondary world?responded to the CSSE conference theme of "Reckonings and Re-Imaginings."His article provides an important analysis of the limitations of decolonization, equity, diversity, and inclusion (DEDI) policies in higher education by first looking at the societal and historical context within which Canadian educational institutions are embedded.Highlighting media representation and Black and Indigenous-led social movements, James draws out the nature of structural barriers, with particular attention to Indigenous and Black experiences, that are deeply connected to
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.016 | 0.035 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".