MétaCan
Menu
Back to cohort
Record W2474552168 · doi:10.2307/3659904

[no title]

2003· article· en· W2474552168 on OpenAlexaboutno aff
Christiane Harzig, Henriette von Holleuffer

Bibliographic record

VenueJournal of American History · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Context (archaeology)Process (computing)Political sciencePopulationPublic relationsHistorySociologyComputer scienceBusinessArchaeologyFinance

Abstract

fetched live from OpenAlex

This richly detailed and well-argued study truly enhances our understanding of the DP (displaced person) phenomenon. Each chapter discusses one aspect of the DP experience. While the introduction provides a—some-what outdated—overview of migration research, the second chapter presents the contours of “The Problem.” It accounts for the historical context, and it gives us an idea of who the DPs were. It analyzes the discourse on population growth, national development, international responsibilities, and labor market needs prior to the arrival of the DPs in Australia, the United States, and Canada. Henriette von Holleuffer argues that the organization and implementation of DP reception programs depended on the national trajectory and nation-building project of the receiving nation. The third chapter, “The Decision,” tells how the programs were designed, who lobbied, who was in charge, who cooperated, and what were the motives. In the fourth chapter, entitled “Settlement Process,” the various placement programs are outlined by which the DPs were distributed throughout the country, housed, fed and taken care of, and—most important—provided with their first jobs. The final chapter, “Incorporation,” discusses the conditions upon which DPs could become citizens of their new home country. Australian-ization, Canadianization, and the American melting pot were meaningful concepts in the design of the respective DP integration programs.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.863
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.272
Teacher spread0.258 · 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 teacher head, 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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of American HistorySame topicMigration and Labor DynamicsFrench-language works237,207