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Record W3087031754 · doi:10.11575/prism/38213

Uncanny Phenomenon: Existential Experiences among Iranian International Students

2020· dissertation· en· W3087031754 on OpenAlexaboutno aff
Mina Didehvar

Bibliographic record

VenueOpen MIND · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsExistentialismPhenomenonUncannyUncanny valleyPsychologyPsychoanalysisEpistemologyPhilosophyNeuroscience

Abstract

fetched live from OpenAlex

As the number of Iranian international students in Canada continues to increase in the light of the recent socio-political unrests in Iran, studying the acculturation experiences of this population has become increasingly important for providing effective counselling. The existing literature on adjustment of international students has been critiqued for pathologizing the acculturation challenges of this population, while neglecting their underlying existential importance. Existential concerns, which reflect individuals’ conflicts with death anxiety, meaninglessness, isolation, and freedom, have been universally identified as a fundamental concern of humanity (Yalom, 1980). Cross-cultural transitions can provoke existential concerns since the challenges of acculturation can often touch on underlying existential meanings. In this study, I conducted semi-structured interviews with six Iranian international students to explore the existential inquiries that arose during acculturation. Interpretative phenomenological analysis (Smith et al., 2009) of participants’ experiences resulted in three overarching themes: (a) Migration as a Boundary Situation, (b) Facing Existential Concerns, and (c) Coping with Existential Concerns. I discuss these findings within the context of acculturation literature and present implications for counsellors and researchers in the field of counselling psychology.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0380.001

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 head0.051
GPT teacher head0.398
Teacher spread0.347 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicSocioeconomic Development in MENAFrench-language works237,207