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Record W205823757

Assimilating The Displaced Person

2016· article· en· W205823757 on OpenAlexaboutno aff
Brian Murphy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationSurpriseGovernment (linguistics)Immigration policyPolitical scienceEmigrationPolitical economyDevelopment economicsSociologyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

In most statements about the immigration of Europeans since the war one meets the assumption that such immigrants, especially those who are regarded as beholden to the Australian Government, must become Australian as soon as possible, certainly within this generation and preferably within ten years. Consequently, official policy towards those immigrants over whom there is a large measure of government control is geared to high speed assimilation, a term which the ordinary man may not use but which is implied in his ideas that such immigrants must not form separate colonies, must speak English, must adopt Australian labour habits, etc. This policy seems natural, and it may come as a surprise for some people to learn that none of the other main immigrant accepting countries are following it. The U.S.A., with the longest experience of alien immigration, did hold a similar policy at one time but in view of the apparent consequences has now abandoned it. Canada, the Argentina^ and Brazil were never so optimistic and have always allowed assimilation several generations. Even in Israel, where the immigrants are already theoretically all one people, the authorities are careful to establish them in colonies according to country of origin. The U.S. experience is of some relevance to Australia today, for the fears of unabsorbed enemy minorities and the attitudes towards foreign immigrants which gained maximum expression in Australia in 1944-45 are very similar to those which held sway in the U.S.A. during the first world war. It was at that time thought that the old cultural differences could be rubbed off the immigrants by mixing them together enough, leaving the natural American man as the fairly uniform product. The rubbing-off worked, but we

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0040.005
Open science0.0010.015
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0240.007

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.

Opus teacher head0.064
GPT teacher head0.316
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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Same topicAustralian History and SocietyFrench-language works237,207