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P7.1: A platform for youth education to boost organ donation in Canada

2023· article· en· W4387606345 on OpenAlexaffabout
Peggy John, Breanne Spencer

Bibliographic record

VenueTransplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsOrgan donationDonationMedicinePolitical scienceTransplantationSurgeryLaw

Abstract

fetched live from OpenAlex

Introduction “The worst possible time to make a decision about organ donation is in the ICU. Educating young people is the key to changing culture and increasing support for organ donation.” In Canada, public opinion about organ donation remains relatively unchanged over the last 15 years. Yet, post-pandemic mistrust in healthcare has risen. Efforts to raise awareness and fight misinformation are facing new challenges, while hundreds of Canadians die each year waiting for transplant. Consent models alone are not the answer. A comprehensive, well-funded organ donation system, with highly trained specialists is foundational. And, so too is quality – and perhaps early – school-based education that equips and enables Canadian families to make decisions about donation that save more lives. As research tells us, even young children can participate in, initiate and encourage family discussions about important social topics. Methods: In 2020, a project identified existing organ donation education materials available in Canada and internationally. A digital resource library was created to collect and share links to programs for teachers, students and parents to use in class or at home to learn and create conversations about organ donation. Dozens of resources for a range of ages and grades, were reviewed, vetted, sorted, tagged and added to the Organ and Tissue Donation Education Portal (learn.organtissuedonation.ca).The Orgamites, a global education program for K-8, was licensed for Canada and included to fill a gap for younger students. A lack of age-appropriate material was identified by a grade 2 teacher whose son Logan became an organ donor in 2018. Logan’s legacy has inspired an interest among educators to bring this topic to classrooms.Canadian Blood Services partnered with the UK-based creator to license Orgamites toolkits on behalf of Canada, and adapt and make them available to teachers for free on the Portal. Results: The Portal launched in 2021. Comprising an ever-growing resource library, it hosts links to 35 English-language and 14 French-language resources. So far, the site has engaged more than 16,000 users and led to 114,000 user interactions that suggests that teachers and parents are leveraging the site to access educational materials for their classrooms. The Orgamites teacher toolkits have been downloaded more than 5000 times. Conclusion: Next steps include fostering a community of educators through a teacher champion network and continued creation of materials that meet community need and are based on feedback and a study of models that are working. Focusing education programs at youth and young children by helping them understand the facts may just help to raise a generation of kind and caring people. Further work aims to secure a foundation of trust that successfully shifts Canadian culture to one where donation (and kindness) is the norm. Health Canada. Provincial and Territorial Governments in Canada.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.155
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0080.002
Scholarly communication0.0040.002
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0990.014

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 head0.024
GPT teacher head0.275
Teacher spread0.251 · 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 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".

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Citations0
Published2023
Admission routes2
Has abstractyes

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