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Record W7098237065

Albert Road Clinic

2016· article· en· W7098237065 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsInterpretation (philosophy)Perspective (graphical)Set (abstract data type)Interpretative phenomenological analysisPublic health
DOInot available

Abstract

fetched live from OpenAlex

Abstract Near-death experiences (NDEs) include a set of subjective experiences encountered by people who were close to death or were faced with life-threatening situations. Reports have suggested that the phenom-enology of NDE might differ across cultures. This article is aimed at provid-ing an updated phenomenological perspective by comparing NDEs in a cross-cultural context. We compared the various descriptions of NDEs from a phenomenological perspective. There were similarities between particular cultures, which differed from typical western European experiences. This article concludes that although there are common themes, there are also reported differences in NDEs. The variability across cultures is most likely to be due to our interpretation and verbalizing of such esoteric events through the filters of language, cultural experiences, religion, education and their influence on our belief systems either shedding influence as an indi-vidual variable or more often perhaps by their rich interplay between these factors. Vol 45(1): 121–133 DOI: 10.1177/1363461507088001 www.sagepublications.com Copyright © 2008 McGill University transcultural psychiatry

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.203
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.003
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.7970.456

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 head0.027
GPT teacher head0.232
Teacher spread0.205 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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