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Record W3044111668 · doi:10.3167/jys.2020.210103

“I Was Not Willing to Risk my Hajj”

2020· article· en· W3044111668 on OpenAlexaff
Nadia Caidi

Bibliographic record

VenueJourneys · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHajjPilgrimageContext (archaeology)Social psychologyNegotiationMeaning (existential)Coping (psychology)PsychologySociologySocial scienceHistoryPsychotherapist

Abstract

fetched live from OpenAlex

Information phenomena and behaviors underlie every aspect of contemporary life, including spiritual/religious experiences. Pilgrimage as an information context provides insights into the nature of information and knowledge in the lives of individuals undergoing such transformational experiences. Findings based on interviews with twelve Hajj pilgrims suggest that their information practices are varied and transcend both individual (cognitive, affective) and social processes (through shared imaginaries and a wide network of people and resources). As pilgrims prepare for and complete the rituals, then return home, they make use of a range of coping strategies from triangulation and validation to information avoidance. Examining the information strategies of Hajj pilgrims provide us with insights into their processes of negotiating meaning in shifting and unknown contexts.

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)0.009
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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.083
GPT teacher head0.253
Teacher spread0.171 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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