MétaCan
Menu
Back to cohort
Record W2293155150 · doi:10.12697/spe.2016.9.1.06

Where Is Your Pain? A Cross-cultural Comparison of the Concept of Pain in Americans and South Koreans

2017· article· en· W2293155150 on OpenAlexfundno aff
Hyo-eun Kim, Nina Poth, Kevin Reuter, Justin Sytsma

Bibliographic record

VenueStudia Philosophica Estonica · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
FundersNational Research Foundation of KoreaVictoria UniversityVictoria University of WellingtonNational Research FoundationFederation for the Humanities and Social Sciences
KeywordsFeelingPsychologyPhenomenology (philosophy)Cross-culturalSocial psychologyOrthodoxySociologyEpistemologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Philosophical orthodoxy holds that pains are mental states, taking this to reflect the ordinary conception of pain. Despite this, evidence is mounting that English speakers do not tend to conceptualize pains in this way; rather, they tend to treat pains as being bodily states. We hypothesize that this is driven by two primary factors -- the phenomenology of feeling pains and the surface grammar of pain reports. There is reason to expect that neither of these factors is culturally specific, however, and thus reason to expect that the empirical findings for English speakers will generalize to other cultures and other languages. In this article we begin to test this hypothesis, reporting the results of two cross-cultural studies comparing judgments about the location of referred pains (cases where the felt location of the pain diverges from the bodily damage) between two groups -- Americans and South Koreans -- that we might otherwise expect to differ in how they understand pains. In line with our predictions, we find that both groups tend to conceive of pains as bodily states.

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)0.004
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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
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 head0.062
GPT teacher head0.378
Teacher spread0.316 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueStudia Philosophica EstonicaSame topicLanguage, Metaphor, and CognitionFrench-language works237,207