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Record W3197133449 · doi:10.22215/etd/2018-13340

“This, Too, Shall Pass” Examining the Path to National Resilience in Israeli Society A Grounded Theory Approach

2018· dissertation· en· W3197133449 on OpenAlexaff
Corinne Baray

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsCarleton University
Fundersnot available
KeywordsPersecutionPsychological resilienceConceptual frameworkRefugeePolitical scienceGrounded theoryDemographicsAnxietyMilitary personnelRepatriationCriminologySocial psychologySociologyPsychologySocial scienceLawDemographyQualitative research

Abstract

fetched live from OpenAlex

The following project seeks to advance the conceptual understanding of collective trauma and national resilience among Israeli former military conscripts. The findings of the present study indicate that historical experiences of persecution, combined with contemporary experiences of war and threat, have ingrained a cultural anxiety in Israelis that is counterpoised by their adaptive capacity and ability to "bounce back". The results of the study indicated that a longitudinal study that examines other demographics of Israeli military conscripts, could allow for the formation of a more comprehensive framework of experiences of collective trauma that lead to resilient outcomes, which can be used by other countries impacted by war and terror.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.020
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.354
Teacher spread0.307 · 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
Published2018
Admission routes1
Has abstractyes

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