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Record W2137356144 · doi:10.7202/1026146ar

“I lit the candle with fire from my heart”

2014· article· en· W2137356144 on OpenAlexaffvenueabout
Jillian Gould

Bibliographic record

VenueEthnologies · 2014
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCeremonyThe HolocaustNarrativeJudaismSociologyIdentity (music)Media studiesHistoryPublic historyGender studiesAestheticsArtPolitical scienceLawArchaeologyLiterature

Abstract

fetched live from OpenAlex

At the Yom Hashoa (Holocaust Remembrance Day) ceremony at the Terraces of Baycrest in Toronto, resident survivors sit at a head table facing the room. They are the embodiment of the ceremony: the victims we remember and the survivors before us. As the eyewitnesses of the darkest time in Jewish history, they mourn their family and friends, and the community mourns with them. This paper presents a case study of this unique service, which stands apart because it is situated in a seniors’ residence. Other Holocaust Remembrance Day observances typically take place “outside” in public institutional spaces: synagogues, schools, community centres, museums; but here, residents invite the community “inside”—into the institutional home—and highlights each survivor’s experiences. By giving residents an opportunity to bring to the foreground their individual narratives, Baycrest staff members facilitate the confirmation of each person’s self-worth and sense of identity. In this way, a creative ritual like the Yom Hashoah Ceremony helps residents to face death, mourning, and remembrance in a supportive, familiar environment while contributing to the sense of family, culture, and community shared by the residents and their extended families.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.659

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)0.0010.001

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 head0.041
GPT teacher head0.307
Teacher spread0.266 · 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 designNot applicable
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
Published2014
Admission routes3
Has abstractyes

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