Dispossession by Accumulation: Housing Financialisation in Halifax, Nova Scotia
Bibliographic record
Abstract
Halifax, Nova Scotia is a relatively peripheral Canadian city that has been, throughout the 2020s, among the most profitable cities in the world for real estate investment.Due to preceding economic decline, and contemporary increasing economic activity, Halifax has a large 'rent gap': an opportunity for significant profitable investment.Gains from this have been unevenly distributed, generating 'big winners' and increasing housing precarity for others.By examining the national and global mechanisms of financial capital's housing investment, local dynamics, and the ownership structure of housing in Halifax, the thesis sketches an account of the increased integration of this Canadian semi-periphery into global and national circuits of capital accumulation through its housing market.Ultimately, it concludes that the problem with housing in Halifax, like elsewhere, is the commodification of housing itself and ends with a discussion of strategies and prospects for de-commodification of housing under the latest stage of finance capitalism.I would like to take this opportunity to thank the members of my committee, Dr.Randall Germain, Kevin Skerrett, and Dr. Scott Aquanno, for their invaluable assistance in this endeavour, their guidance, comments, and willingness to talk through this complex topic have been essential to develop my thoughts on housing and contemporary capitalism.I would likewise like to thank my cohort at the Institute of Political Economy, for their contributions to this work in the form of camaraderie and an unshakeable willingness to discuss our
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".