An Anarchist Approach to Addressing Housing Precarity: Implementing Anarchist Strategies to Program Efforts for Housing Justice
Bibliographic record
Abstract
The right to housing is fraught with impositions of market housing logic: our solutions to housing generally imply that people must be housed in conventional housing markets, with a goal that they contribute to an economy that sustains this housing model. Using an anarchist conceptual framework, this paper explores the shortcomings of some existing approaches, challenging the assumption that people experiencing housing precarity inherently desire to participate in market housing and an associated economy. Rather, an anarchist conceptual model for housing suggests that the right to housing that preferentiates need and agency over full participation in the housing market and capitalist economy, while arguing that the means used to address housing instability must be in line with intended ends we hope to see. Proposed alternatives highlight the potential for integrating anarchist tools into practices in the housing sector in order to centre agency, anti-colonial work, and justice.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".