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Record W3151784000 · doi:10.47611/jsr.v10i1.1138

An Interpretative Phenomenological Analysis of the Emotional Experience of the 1947 Partition Survivors

2021· article· en· W3151784000 on OpenAlexaff
Ananya Kalra, Eva Zysk

Bibliographic record

VenueJournal of Student Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNarrativePartition (number theory)Interpretative phenomenological analysisPsychologyRecallSocial psychologySociologyGender studiesCognitive psychologyAnthropologyArtLiteratureQualitative research

Abstract

fetched live from OpenAlex

This paper examines the emotional experience of the survivors of the 1947 India-Pakistan
 Partition by conducting an interpretative phenomenological analysis of their trauma narratives which were procured through the 1947 Partition Archive, an organization dedicated to the preservation of the stories of the victims of the separation of the two countries. The three participants were between the ages of 5-14 years-old when they were displaced and all of them witnessed the rampant violence that characterizes the Partition. They recall the events while maintaining a distance from the distressing memories by altering the perspective of their narratives and adopting laughter as a relieving mechanism. Their cultural identity was comprised by forced migration which they express through a deeply rooted desire to return to their homes. Their needs to be further exploration of Partition narratives across diverse
 demographics, such as South Indian and Muslim survivors.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.355

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.215
GPT teacher head0.509
Teacher spread0.295 · 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 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
Published2021
Admission routes1
Has abstractyes

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