Migrants' Belongings: Preliminary considerations of Greek and Italian migrants' travel trunks in the post-Second World War period of settlement to South Australia
Bibliographic record
Abstract
The Migrants’ Belongings project, while considering both the scholarly work of the past\nand more contemporary trends, aims to take migration studies one step further by\ninvestigating the significance of belongings brought in the travel trunks of Greek and\nItalian migrants when they settled in Australia after the Second World War. The project\nseeks to understand, in the context of displacement, movement and loss, what objects\nwere of particular relevance in reshaping the lives and the identities of these migrants,\nwith particular reference to those objects carried by trunk, rather than by suitcase.\nThis article, the first in a series relating to the Migrants’ Belongings project, aims to\nsituate the project within the wider literature of post-Second World War Italian and\nGreek migration to Australia. It will consider the use and representation of migrants’\nbelongings, drawing on methodologies and findings from museology, material culture\nand identity studies. The project will reflect on the reasons why the “objects of migration”,\nand more specifically the contents of “migrant trunks”, have so far been largely\nneglected by scholars of history and migration studies. Finally, this article will highlight\nthe project’s proposed methodology.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".