MétaCan
Menu
Back to cohort
Record W1952752047 · doi:10.4324/9780415963619-2

Design of the Study: Selecting Societies of Settlement and Immigrant Groups

2006· book-chapter· en· W1952752047 on OpenAlexaff
John W. Berry, Charles Westin, Erkki Virta, Paul Vedder, Rosanna Rooney, David Sang

Bibliographic record

VenuePsychology Press eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsQueen's University
Fundersnot available
KeywordsSettlement (finance)ImmigrationGenealogyGeographyEthnologyHistorySociologyDemographic economicsPolitical scienceArchaeologyEconomicsComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This chapter describes the design and the contextual backgrounds of the societies of settlement and the immigrant groups involved in the International Comparative Study of Ethnocultural Youth project. The chapter presents descriptions of some of the core features of the 13 societies of settlement that are theoretically relevant to the project. It outlines some of the important features of the immigrant groups, including information that is necessary for understanding the processes of acculturation and adaptation that occur as they interact with others in their societies of settlement. The chapter focuses on societies that have been largely built using a deliberate process of immigration. It analyses societies that have been involved in immigration but historically were the source of immigrants rather than the destination. The chapter explores the differences using two indicators that are theoretically important for this project: the actual degree of cultural diversity found in a society and the national policy orientation toward such diversity.

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)0.010
metaresearch head score (Gemma)0.007
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: Methods · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.067
GPT teacher head0.322
Teacher spread0.254 · 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
GenreMethods

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

Citations38
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePsychology Press eBooksSame topicMigration, Ethnicity, and EconomyFrench-language works237,207