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Record W2896753873 · doi:10.1177/1177180118806430

Contemplating remote presence technology for culturally safe health care for rural indigenous children

2018· article· en· W2896753873 on OpenAlexaffabout
Tanya Holt, Gregory Hansen, Veronica McKinney, Ivar Mendez

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2018
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIndigenousCulturally appropriateTelehealthNursingHealth careTelemedicineMedicineIntervention (counseling)SubspecialtyCommissionSpecialtyBusinessPublic relationsFamily medicinePolitical science

Abstract

fetched live from OpenAlex

Indigenous children living in rural and remote Canada have limited access to paediatric specialty services. As such, they experience a high rate of medical transport out of their home communities. The Truth and Reconciliation Commission’s calls to action has prioritized access to health care that is culturally safe and community directed. Remote presence robotic technology—a novel form of telemedicine—seeks to overcome the barriers of distance and time to improve health care access. The robot allows for direct patient visualization, examination, and communication with local health care providers and family members. This intervention may reduce unnecessary paediatric transfers, and enhance culturally safe care in the child’s home community through timely access to paediatric subspecialty care.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.365
Teacher spread0.346 · 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 designTheoretical or conceptual
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

Citations15
Published2018
Admission routes2
Has abstractyes

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Same venueAlterNative An International Journal of Indigenous PeoplesSame topicGlobal Health and SurgeryFrench-language works237,207