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Record W7052782889

They Go the Extra Mile, the Extra Ten Miles...”: Examining Canadian Medical Yourists’ Interactions with Health Care Workers Abroad

2015· other· en· W7052782889 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2015
Typeother
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsTSG101NucleofectionWork (physics)Gestational periodPopulationHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

Developing an understanding of medical tourists' interactions with their health care workers while abroad is important for a number of reasons. Social support has been linked to improved health outcomes for patients (Berkman et al., 2000; Lee and Rotheram-Borus, 2001; Uchino, 2004, 2006), while a lack of social support has been found to lead to higher mortality rates (Brummett et al., 2001; Rutledge et al., 2004). While abroad, medical tourists are not in a position to draw on their usual social support networks as they are away from home. It could be the case that workers in medical tourism facilities are aware of this and work to form a supportive and trusting bond with the patients given that they are away from home and unable to draw on their usual support networks. Furthermore, when patients perceive their relationship with their health care workers as positive, they have been shown to have a higher chance of improved health outcomes (Stewart et al., 2000; Arora, 2003; Beach et al., 2006; Street et al., 2009). There is no reason to think this would be any different for medical tourists. The patient-health care worker relationship can have important implications for patient health and therefore we believe that research into this topic using medical tourists' own experiential accounts can help to identify strategies that can be used to secure and improve this relationship.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.204
Teacher spread0.193 · 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
Published2015
Admission routes1
Has abstractyes

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