MétaCan
Menu
Back to cohort
Record W4386219543 · doi:10.3390/adolescents3030037

“I Can Do Anything if I’ve Overcome That”: A Collaborative Case Study of an Adolescent with Symptoms of Lyme Disease in Canada

2023· article· en· W4386219543 on OpenAlexaffabout
Sarah Ciotti, Shannon A. Moore, Christine Yvette Tardif-Williams

Bibliographic record

VenueAdolescents · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsBrock University
Fundersnot available
KeywordsLyme diseaseDiseaseMedicineLYMEHealth careQualitative researchPsychiatryBorrelia burgdorferiFamily medicinePsychologyImmunologyPolitical science

Abstract

fetched live from OpenAlex

This qualitative case study explored the experiences of one Canadian adolescent with symptom-persistent Lyme disease. Lyme disease is the most prevalent vector-borne illness in North America, and infection rates are rising across Canada. Peak incidence occurs in children aged 5–9 years, making it a significant childhood infectious disease. This involves collaboration with an adolescent with symptom-persistent Lyme disease in Canada to address a gap in the literature. This empirical research was guided by the central research question: “What is the experience of an adolescent with symptom-persistent Lyme disease in Canada?” The purpose of this study was to understand the unique experiences of symptom-persistent Lyme disease in Canada by emphasizing one adolescent’s unique voice. The findings of this case study demonstrate the challenges this adolescent faced in receiving appropriate diagnosis and treatment for Lyme disease, pointing to a need for increased awareness among health professionals regarding the impact and prevalence of tick-borne illnesses for young people, their caregivers, and their healthcare providers. Additional findings suggest that collaborative healthcare may be beneficial for patients with symptom-persistent Lyme disease, and health researchers should continue to engage young people to ensure accurate representation of their experiences.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
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 science0.0000.000
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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAdolescentsSame topicVector-borne infectious diseasesFrench-language works237,207