Bibliographic record
Abstract
This article is about new governments for financial recovery after the financial crisis. The focus on tracing the creation of an active class derived from the security of rental income for detached houses has become rent. The study strategically combines conceptual agendas, and is discussed separately. Market formation theories rooted in scientific and technical studies provide information on the analytical method to pay attention to the work of realizing markets, the role of computer devices in market formation and the conditional and conditional aspects of markets. This analysis shows that renting families in an active class is a practical achievement. However, a broader framework rooted in the political economy is needed to address the broader meaning of the working class in terms of power, politics and the dynamics of capital accumulation. The article focuses in particular on the historical and geographical events that make it possible to invent a large-scale SFR market, the work of state and capital market players to reformulate single-family homes restored as rental properties, and the role of accounting practices in this process, and the strategies of issuers and credit rating agencies to develop a new asset class for institutional investors. The working-class points to the fundamental role for housing in the ideology of capital, and talks about new implications of financial role players and domestic life, as financial accumulation adapts to the context after the crisis. In addition to the financial financing of housing after the crisis, the article also shows how economic geographers can carefully integrate the theoretical perspectives to critically examine the conditions of market formation and the social, spatial and political consequences of markets.
 
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".