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Record W2360385274 · doi:10.2310/6650.2005.x0004.548

549 OPTIMIZING THE TRAVEL EXPERIENCES OF CHILDREN AND FAMILIES DURING FLIGHT.

2006· article· en· W2360385274 on OpenAlex
Gita Wahi, Aleem Lalani, A. J. Macnab

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Investigative Medicine · 2006
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEntertainmentService (business)ReputationAir travelAdvertisingMedical emergencyBusinessMedicineMarketingAviationMedical educationEngineeringSociology

Abstract

fetched live from OpenAlex

<h3>Background</h3> The British Columbia Children9s and Women9s Hospital has an international reputation for the air ambulance services it provides to the largest geographic area in the world (1,000,000 sq km) served by a single ambulance service. As a consequence of this expertise we are frequently asked by parents for advice with regards to air travel for them and their children. As we currently do not have material available to provide advice for parents, our research question looked at what material airlines provide for parents concerning how to optimize travel experiences for children on regular commercial airlines. <h3>Methods</h3> A questionnaire consisting of qualitative and multiple choice type questions was mailed to the 23 airlines. The questionnaire was sent to commercial airline companies flying from Vancouver International Airport in Vancouver, BC (YVR). Respondents were asked to provide feedback on their policies concerning infant passengers and recommendations given to the public regarding a variety of topics, including how caregivers can access information regarding traveling with children; car seat, stroller, and sky cot provisions; child-friendly meals and entertainment; medical advice given to caregivers; and commonly encountered problems when traveling with children. <h3>Results</h3> This study collected 10 surveys. Airlines provide information through a combination of Web-based materials (8/10) and answers from booking agents (7/10) and other airline staff (5/10). Personal car seats are allowed on the flight by 3/10 airlines. All airlines offer special meals to accommodate various preferences; 2/10 airlines offered special children9s meals. Strollers can be used between check-in and boarding gates by 10/10 airlines. Other recommendations included discussing children9s needs with the airline at the time of booking; bringing snacks, boxed drinks, and spare diapers and changes of clothing; and encouraging feeding during take-off and landing to minimize ear discomfort. <h3>Conclusion</h3> We anticipate being able to compile information that pediatricians can share with families to optimize travel with children through greater awareness of common issues that can negatively impact their air travel. International regulations mandate many practices, including the ability of parents to have their child travel using car safety seats, the accommodations made for children with special needs, and the travel of unaccompanied minors.

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.

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 score0.562
Threshold uncertainty score0.446

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.345
Teacher spread0.303 · 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