Incarcerating First Nations Women: An Intersectional Approach
Bibliographic record
Abstract
This thesis looks differently at the current crisis of over-incarceration of First Nations women in Australia, developing Kimberlé Crenshaw’s 1989 intersectional lens to reflect a three-point intersection of race, gender, and colonialism. This thesis utilises a Foucauldian “theory of the present” methodology to reimagine this crisis in a way that is different to the commonly accepted reality. Part One of this thesis sets out the problem, with Chapter One presenting an introduction to the problem. Chapter Two conducts a detailed literature review identifying a gap in the literature within which this thesis sits. The literature review is in two parts: the first examining the body of literature addressing the incarceration of First Nations women; the second part considering more specifically the various theoretical approaches taken to the issue. This process identifies a gap in the literature, which in turn invites the development of the intersectional lens beyond the traditional points of race and gender, and the establishment of a three-point intersectional lens situated at the points of race, gender, and colonialism. Chapter Three outlines the methodology adopted by this thesis to full this gap, adopting a “theory of the present” methodology, developed from Foucault’s broader body of work and influenced by theorists including Thomas Kuhn and Friedrich Nietzsche is set out. This chapter also sets out the relevant ethical considerations. Part Two of this thesis is dedicated to the development of a three-point intersectional lens. Chapter Four grounds the crisis in theories of violence, and Chapter Five builds on the violent underpinnings of the crisis by examining the role and adaptability of the intersectional lens in the Australian context. Chapter Five, Chapter Six, and Chapter Seven are dedicated to Critical Race Theory, Feminist Legal Theory, and Post-Colonial Theory respectively. These chapters ground the three points of intersection implicated in the three-point lens in the appropriate theory and explore how a theoretical understanding of these intersecting points assist in reimagining the problem. Part Three of this thesis applies the three-point intersectional lens established in Part Two to a practical example. Chapter Nine takes the form of a case study; taking the death in custody of First Nations woman Veronica Nelson, this chapter applies the three-point intersectional lens to determine how such an analysis assists in thinking differently about the crisis. The final chapter, Chapter Ten, concludes this thesis and sets out areas for future research.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.016 | 0.040 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".