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Record W7052632289

The Serbian diaspora in Southern Ontario: Life history and perceptions of ethnic identity in transition

2016· article· en· W7052632289 on OpenAlexaboutno aff

Bibliographic record

VenueUnipub UB Graz (Universität Graz) · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSerbianDiasporaEthnic groupIdentity (music)EthnographyContext (archaeology)PerceptionImmigrationCollective memory
DOInot available

Abstract

fetched live from OpenAlex

This thesis will examine how the Serbian Diaspora in southern Ontario remembers their life history in the context of different socio-political eras.The person-centered ethnographical approach allows for understanding of how individuals within the Serbian diaspora remember by explaining the social context within an individual's biography.Semi-structured interviews allow for the thesis to attain qualitative data needed to analyze the question of memory among individuals.Individuals reflect upon their personal memories in three different social contexts: the socialist Yugoslav period, the Yugoslav wars and immigration to Canada.This thesis attempts to see whether individuals within the Serbian Diaspora neglect certain parts of their individual memories in order to maintain the norms of their collective cultural identity.This thesis will present how individuals adjust certain aspects of their autobiographies for the sake of collective ethnic identity.It will try to decipher whether reflecting on certain social systems push the question of cultural identity or individual identity to the forefront.This thesis provides evidence that the dominance of cultural and individual memory shift according to the importance of cultural, i.e. ethnic identity in particular socio-political systems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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 designBench or experimental
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
Published2016
Admission routes1
Has abstractyes

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