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Record W3127772039 · doi:10.11575/prism/38627

Life: To Be Given Back Again to Whence It Came Confronting Grief Illiteracy Using a Personal Narrative Written in the Face of Grief

2021· dissertation· en· W3127772039 on OpenAlexaboutno aff
Linita Eapen Mathew

Bibliographic record

VenuePRISM (University of Calgary) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsnot available
Fundersnot available
KeywordsGriefFunctional illiteracyNarrativeFace (sociological concept)PsychologyPersonal narrativePsychoanalysisHistoryLiteraturePsychotherapistSociologyArtSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

The death of a loved one washes over us like a catastrophic tsunami, and grief consists of the waves and ripples that rise up and down, directing us through the murky waters of bereavement. When an individual journeys through these painful circumstances, grief alters our physical, emotional, psychological, behavioural, and spiritual wellbeing. And, although grief is a universal occurrence defined by evolving grief theory models, advancement in the design of innovative tools that target and teach us how to overcome our suffering has made slower progress, limiting the ways we put these grief models into practice. Similarly, a lack of grief education in schools, and our unwillingness to openly talk about death and discuss the impact of grief, hinder our ability to effectively transition beyond it. Hence, through the portrayal of a subjective experience when faced with a significant loss, this paper explores my own encounter with the chronic, complicated grief that materialized after the loss of my father. Examined against my cultural context as an Indo-Canadian, evocative autoethnography was used to delve into the human psyche, disclosing my personal interactions with grief, and exposing the grief illiteracy that exists in our society. Using the art of storytelling, my narration as the protagonist, hoping to reconcile with loss, was woven through a collection of 41 stories that took place before, during, and after the death of my father, shedding light on the cultural impact on bereavement. Through a targeted and extensive approach to the expressive writing technique, my findings aligned with previous studies that identified writing as a therapeutic tool, supporting the disclosure of past trauma as healing. Thus, this study determined that structured, first-person narrative writing was a successful tool used to recover from, reconcile with, and integrate the loss of my father. In addition, four cornerstones of storytelling emerged that were crucial to healing: relationship building, designing a blueprint of grief, strengthening spiritual health, and leaving a lasting footprint. Based on these findings, recommendations were made through a seven-day unit plan that supports the inclusion of grief work in the classroom, addressing the needs of the grieving population in schools.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.017
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.273
Teacher spread0.247 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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