Oppression and Resistance in Southern Higher and Adult Education: Mississippi and the Dynamics of Equity and Social Justice (2017) by Kamden K. Strunk, Leslie Ann Locke, Georgianna L. Martin
Bibliographic record
Abstract
Oppression and Resistance in Southern Higher and Adult Education: Mississippi and the Dynamics of Equity and Social Justice, by Strunk, Locke, and Martin, provides a critical examination of the historical development and current state of adult and higher education in Mississippi using the narratives of oppression and resistance to raise awareness of educational strategies that promote social justice and equity.A significant portion of the book focuses on historical and contemporary resistance to oppression, including strategies used in Mississippi that may be transferable to other contexts.The volume is part of the Palgrave Studies in Global Citizenship Education and Democracy, a series engaging with the many capacities of adult and higher education to positively engender citizenship, human rights, and democracy.While Strunk, Locke, and Martin self-identify as scholar-activists with a shared passion for social justice, they bring a diversity of expertise and emerging research perspectives in education.Critical readers, especially graduate students and new faculty, may find inspiration in the authors' shared experience responding to growing student interest in critical education at the University of Southern Mississippi and the institutional pushback that acted as a springboard for their academic careers.Each author shares their positionality, which helps to contextualize the research's theoretical and methodological underpinnings.The book is organized into two sections.Part 1, which includes Chapters 1-3, provides a critical analysis of the historical significance and long-reaching consequences of pervasive oppression in Mississippi's formal and informal education based on race, ethnicity, income, gender, and sexual orientation.Chapter 1 provides a cogent summary of the contemporary and historical analysis that follows, as well as an insightful sharing of each author's positionality.In Chapter 2, the authors examine the physical manifestations of contemporary oppression in Mississippi's educational system.They provide statistical analyses that support the view that the current state of segregated K-12 schools and differences in educational experience and quality for Black students can only be accounted for by understanding injustice as deliberate and systemic.Besides documenting race and class inequalities, the chapter also examines contemporary forms of oppression based on gender, gender identity, and sexual orientation.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".