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Record W268881513

The Perils of Diversity: Immigration and Human Nature

2011· article· en· W268881513 on OpenAlexaboutno aff
Richard E. Lynn

Bibliographic record

VenueMankind Quarterly · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPsychological nativismMulticulturalismHarmony (color)SociologyEliteCivilizationIndigenousMainstreamGender studiesEnvironmental ethicsPolitical scienceLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

The Perils of Diversity: Immigration and Human Nature Byron M. Roth Washington Summit Publishers, 2010 Dr Byron Roth, a professor emeritus of psychology at Dowling College on Long Island, has written an important book on impact of large-scale immigration of non- European peoples on peoples and cultures of Europe and North America. Roth begins by documenting how elite opinion-formers in academia and mainstream media almost all assume that peoples of all cultures and races are essentially similar, and therefore that they can be accommodated with little difficulty in United States and Europe. Amongst them, principal debate is between those who advocate assimilation of newcomers and those who advocate multiculturalism. While acknowledging that different racial groups can sometimes be in conflict, assimilationists argue that ethnic problems can be solved through the magic of assimilation, a process by which immigrants of all races and religions are gradually transformed into Americans or Europeans. By contrast, argue that immigrants should be allowed to keep their culture, beliefs and practices. The latter argue that this can be accomplished peacefully and that resulting different communities can live in social harmony. Any conflict is blamed on intolerance of host populations, claiming that any discord is fault of indigenous American and European peoples who should do more to accommodate immigrants. Roth argues that both assimilationists and multiculturalists fail to understand human nature. Assimilationists believe that all races have intelligence and abilities required to maintain Western civilization, while multiculturalists believe that all races can live together in social harmony. He claims that such assumptions are seriously incorrect in light of historical experience and scientific evidence, and goes so far as to allege that academic and legal professions, joined by numerous philanthropic foundations, not only ignore, but sometimes even suppress, scientific evidence that refutes their views. He asserts that while science has now established that genes play a major role in shaping not only individual but also group differences, scholars who publicly discuss genetic differences are bitterly attacked by both assimilationists and multiculturalists. To support his contention, he describes fate of Chris Brand, who was fired from University of Edinburgh for emphasizing genetic basis of racial differences; attacks on Bruce Lahn at University of Chicago; and even on discoverer of DNA molecule, Nobel prize winner James Watson, who was forced to resign from his position at research institute at Cold Springs Harbour for remarking publically to effect that some races were less intelligent than others. Discussion of these issues is further suppressed in a number of countries by hate speech laws that prohibit public debate on race and intelligence. It is effectively illegal to publish a book criticizing immigration on ground of genetic difference in Canada, and publishers are fearful of publishing books of this kind in Europe, where similar laws exist in a number of countries. Roth also notes that most philanthropic foundations that sponsor publications and conferences on subject of race do not invite scholars who might make case for genetic differences between races or groups, while they give major grants for studies of racism and to support activist proimmigration groups such La Raza, which advocates return of southern U.S. states to Mexico. He explains that business leaders often favor loose immigration controls because immigrants provide cheap labor, while liberals and leftists favor mass immigration because they care little about preservation of Western civilization and have adopted a form of Marxism in which whites have taken place of Marx's bourgeoisie, and non-whites are proletariat. …

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.036
Scholarly communication0.0100.012
Open science0.0010.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.268
Teacher spread0.246 · 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 designTheoretical or conceptual
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

Citations7
Published2011
Admission routes1
Has abstractyes

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