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Record W1824460818 · doi:10.18357/ijih91201212389

Aboriginal Children and Physical Pain: What Do We Know?

2013· article· en· W1824460818 on OpenAlexafffundvenue
Margot Latimer, Shelley Young, Carmen Dell, G. Allen Finley

Bibliographic record

VenueInternational Journal of Indigenous Health · 2013
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
FundersIWK Health CentreDalhousie UniversityNova Scotia Health Research Foundation
KeywordsEmpathyPopulationPain assessmentPsychologyHealth careHealth professionalsChronic painMedicineDevelopmental psychologyPain managementPsychiatryPhysical therapyEnvironmental health

Abstract

fetched live from OpenAlex

All children experience body pain as a result of medical procedures, vaccinations, and a variety of chronic conditions. Children are a vulnerable population and may be even more at risk to experience pain in under-resourced environments. We know that physical pain in childhood causes suffering to the child, family, and caregivers, and can also cause prolonged physiological and immune effects lasting into adulthood. There is evidence that Aboriginal children and youth experience pain at higher rates than their non-Aboriginal counterparts. First Nations youth report that pain issues have kept them from participating in essential developmental activities such as school and sports. Effective pain care increases a child’s ability to participate in activities that are meant to enhance well-being and prepare them to be healthy adults. Currently, there is no reliable way for First Nations children and youth to convey the intensity and quality of their pain. This makes it difficult for health professionals to measure it and likely influences whether it is adequately treated or not. In this paper, we will discuss some of the historical and cultural perspectives that may be helpful in understanding pain in Aboriginal children. In addition, we will discuss what is known about pain expression, assessment, management, and health professionals’ empathy for pain cross-culturally as well as the next logical steps to address some of these issues.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.319
Teacher spread0.312 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations11
Published2013
Admission routes3
Has abstractyes

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