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Record W2331825228 · doi:10.5114/cipp.2013.40638

Initial part of longitudinal research on psychological and social adaptation including personality problems with Polish immigrants in Canada

2014· article· en· W2331825228 on OpenAlexaboutno aff
Bogdan Pietrulewicz, Peter Skeris, Aleksandra Winter

Bibliographic record

VenueCurrent Issues in Personality Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPersonalityEveryday lifeImmigrationEmigrationSocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

<b>Background</b><br /> The psychology of personality is cognitively one of the most interesting fields. In its full extent it tries to correspond to questions concerning the individual and his or her psychological life. Different personality variables manifest themselves in human everyday actions, and affect decision making and, along with intelligence, the way of adaptation to new environmental conditions.<br /> <br /> <b>Participants and procedure</b><br /> The presented work is a result of the initial longitudinal examination conducted in the second half of the 1980s on a group of 44 Polish immigrants to Canada. The second part of this study is continued on the same sample of respondents after 25 years.<br /> <br /> <b>Results</b><br /> The emigration waves caused by economic transformations in the eighties, just as is happening currently, in the<br /> country of origin grew to huge numbers. It shows the interactive process of changes taking place not only in society but also in the notion of the individual. Adaptive problems show themselves in all aspects of emigrants’ lives. Motivation, discrimination, employment, frustration and mental health become the resultant of personality factors manifested in the ways of adaptation to new, extremely different conditions of everyday life.<br /> <br /> <b>Conclusions</b><br /> This examination, in spite of the time in which it was conducted, is gaining in value, particularly at present. In our times we have also observed mass emigration of young, educated citizens who, similarly to the emigration of the 1980s, are coming across the same adaptive problems.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.413
GPT teacher head0.533
Teacher spread0.120 · 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.

Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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