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Record W7061182551

Picturing the Past: Exploring Remembering and Memory Construction Among First-Generation Croatian Emigrants in North American Diaspora

2023· article· de· W7061182551 on OpenAlexaboutno aff

Bibliographic record

VenueUnipub UB Graz (Universität Graz) · 2023
Typearticle
Languagede
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationDiasporaCroatianNationalityPlastic artsOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Diese Arbeit untersucht die Erinnerungen und den Aufbau von Gedächtnisinhalten der ersten Generation kroatischer Einwanderer in Seattle und Vancouver. Sie konzentriert sich auf die Individuen, die zwischen 1950 und den späten 1980er Jahren ihre Heimat verlassen haben. Mit Hilfe von fünfzehn halbstrukturierten Interviews werden ihre Beweggründe für die Emigration sowie die Art und Weise untersucht, wie ihre Erinnerungen durch Zeit und Distanz geprägt wurden. Darüber hinaus werden ihre einzigartigen Erzählungen beleuchtet, wobei betont wird, wie diese persönlichen Geschichten breitere Muster ihrer Identität, der Bewahrung kultureller Werte und der Komplexität des Zugehörigkeitsgefühls sowohl zu ihrer Heimat als auch zu ihren neuen Ländern widerspiegeln. Die Studie zeigt die Komplexität zwischen individuellen Erfahrungen und dem kollektiven Gedächtnis der kroatischen Diaspora in Nordamerika auf und trägt zu einem tieferen Verständnis darüber bei, wie Erinnerungen die größere Erzählung von Migration und diasporischer Identität formen und von ihr geformt werden.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.211
Teacher spread0.181 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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