Migrant Housing in the City and the Village: from Melbourne to Zavoj
Bibliographic record
Abstract
This paper will discuss the kinds of communities that evolve through historical practices of migration. The migrant house is associated with a new architecture that had appeared in the cities of immigration of the new worlds (Melbourne, Toronto, Chicago). It is perceived as a stereotypical symbolisation of immigrants from Southern European origins that had arrived in the decades following the Second World War. The appearance of houses built by returning migrants in sites of origin suggests other trajectories, other modes of travel, and other forms of community. Central to the thesis of this paper is the testimony of two types of migrant houses. The study draws on theories of migration that address the site of departure, the site of arrival, and the question and conflict of return which is at the centre of the migrant's imaginary. This study will examine the migrant houses in the village of emigration (Zavoj in Macedonia), migrant houses built by returning emigrants. A study of the two houses of migration implicates a set of networks, forces, relations, circumscribing a large global geopolitical and cultural field that questions our understandings of diaspora, the binary structure of dwelling/travelling, and the fabric and fabrication of community. In addition, the paper will explore the notion of house as an imaginary landscape, a psychic geography narrated through migratory travels.
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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 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".