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Record W2623005737

Speaking of the Sacred: Exploring Religion, Spirituality, and the Boundaries of Emotional Communities through Oral History

2017· article· en· W2623005737 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOral History Forum d'histoire orale · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsIrishSpiritualitySociologyConversationContext (archaeology)FaithOral historyPoliticsGender studiesAestheticsHistoryAnthropologyEpistemologyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Drawing on Barbara H. Rosenwein’s work and the history of emotions more generally, this article considers the significance of emotional boundaries within the context of oral history interviews. I examine how, in my own interviews with Irish Canadians in Winnipeg, interviewees navigated these unspoken social codes when they told stories of religion and spiritual experience. Widely shared understandings among the emotional communities of Canadian society, the Irish community in Winnipeg, and the interview itself meant that some stories about spiritual experiences required an invitation while others did not. When interviewees discussed landscape and nature, they drew freely on spiritual language to relay their experience of the sublime within particular spaces. Discussion of religion, however, tended to focus on its historical and political significance within the Irish community, unless an invitation was offered to broaden the emotional boundaries of our conversation. I argue that as oral historians and co-creators of these boundaries within the interview space, it is important to consider the boarders of the emotional communities that shape our interviews. If we combine oral history methodology with the work of historians of emotion and religion, we may open up new possibilities to examine the understudied role of faith and religion in interviewees’ lives.

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.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0050.028
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.117
GPT teacher head0.255
Teacher spread0.139 · 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