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Record W2021258486 · doi:10.1002/cncr.26055

Awareness and advocacy for adolescents and young adults with cancer

2011· article· en· W2021258486 on OpenAlexafffund
Devon McGoldrick, Pamela Gordon, Heidi Adams, Paul Rogers, Simon Sutcliffe

Bibliographic record

VenueCancer · 2011
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsCanadian Partnership Against CancerUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsPsychosocialMedicineGlobePopulationCall to actionAction (physics)Focus groupFamily medicineNursingEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Increasing the awareness of the clinical and psychosocial needs that are particular to adolescents and young adults (AYA) was a top priority, as was strengthening advocacy efforts to empower and support this group. To date, AYA advocates had some success in generating public awareness and building a solid clinical justification for increased focus on this population. It had been established that the economic burden of their mortality was significant, their cancers were unusual, their medical care was often inadequate, and their outcomes for many cancers had not improved in the past 3 decades. As the awareness and advocacy campaign continued to grow and evolve across the globe, it was an important goal to integrate the efforts of all stakeholders to ensure that it progressed with a single, consensual, focused message identifying a common priority for action. By coordinating the efforts of the scientific, medical, and advocacy communities, it was possible to amplify their separate efforts and activities and more efficiently achieve large-scale change in the world of AYA oncology.

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)0.006
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0000.004
Research integrity0.0030.004
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 head0.039
GPT teacher head0.321
Teacher spread0.282 · 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
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

Citations21
Published2011
Admission routes2
Has abstractyes

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