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Record W2319479766 · doi:10.1155/2002/198365

Pain: A Culturally Informed Experience

2002· article· en· W2319479766 on OpenAlexaff
David Ng

Bibliographic record

VenuePain Research and Management · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsHamilton Health SciencesWestern University
Fundersnot available
KeywordsSensationConceptualizationPsychologyPain sensationContext (archaeology)Noxious stimulusStimulus (psychology)ConsciousnessAbdominal painMedicineNeuroscienceCognitive psychologyAnesthesiaNociceptionHistorySurgery

Abstract

fetched live from OpenAlex

I was raised in North America ‐ a culture and society in which the education emphasizes knowledge about science, its methods and its principles. The scientific method of understanding, coupled with the rudimentary knowledge that I was taught in high school biology, resulted in my conceptualization of pain as an objective truth. Pain, as I believed for a long time, was a bodily sensation with an expression that was more or less universal; to me, pain was simply the sensation that the brain experiences as a response to noxious stimuli. The pain sensation protects us from things that can hurt us; it is a warning sign that something in us is physically amiss. Thus, everybody physically reacts to the touch of a flame or experiences abdominal pain when there is appendicitis. Even now, in medical school, the pain education that I have received so far has only involved the physiology or mechanics of pain. Pain, as a physiological condition, operates independent of cultural context. However, in considering the experience of pain that my grandmother has endured, I realize that pain is much more than a mechanical bodily sensation effected by the nervous system in response to stimulus. Pain is a human experience, and as such, it is highly individualized and subjective. The proper diagnosis, care and treatment of pain necessitate a holistic understanding of pain, its physiology and its context (1).

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.142
GPT teacher head0.427
Teacher spread0.285 · 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.

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
Published2002
Admission routes1
Has abstractyes

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