Neoliberal Conceptual Framing and the Disappearing of Marginalized Adults from the Basic Adult Education Learning Landscape in Ontario
Bibliographic record
Abstract
Abstract This study of Literacy and Basic Skills (LBS) programs that are funded under the provincial Ministry of Advanced Education and Skills Development (MAESD) in Ontario looks at the potential first and second order effects of MAESD LBS policy changes since 2012. This study brings to bear an anti-colonial and anti-oppressive practice lens, in order to examine the potential for, and implications of marginalization and displacement within a number of adult basic education programs in the province of Ontario. A component of this study will consider comparisons between Northern and Southern Ontario. Twenty-two LBS administrators and practitioners across Ontario—who between them have a cumulative knowledge of approximately 50 LBS sites in the province—were interviewed. These site administrators and practitioners were invited to participate after having been selected on the basis of sampling across both Northern and Southern Ontario from the Learning Networks of Ontario by LBS streams (Francophone, Deaf, Aboriginal, and English) and sectors (College, School Board, Community-based). Northern LBS site sampling included sites in the three Northern Regional Literacy Networks. Southern LBS site sampling included sampling by stream and sector in the sixteen (in total) Eastern, Western, and Southern Regional Literacy Networks. Interviews were semi-structured with “what would you do in this situation” vignette scenarios which could be expanded by the administrators and practitioners. The potential displacement of adult education students that seems to be happening in Northern and rural Ontario LBS is discussed, as is the marginalization of senior learners, developmentally delayed learners, and English Second Language learners from some sites. The implications of these results are discussed in relation to issues concerning equity in education, how New Public Management and neoliberal conceptual framing can create erasure as a consequence of second order policy effects, and the relationship between practitioner response and gatekeeping. Further discussions of practitioner self-efficacy, practitioner resistance, and meaning making at work, related to sustainable place-based community development ideologies, rooted in our diversity of economic, geographic and socio-cultural needs, for more holistic, multilingual education models and decolonial praxis are all explored.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".