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Record W2000345856 · doi:10.1002/cncr.24267

Educational outcomes among survivors of childhood cancer in British Columbia, Canada

2009· article· en· W2000345856 on OpenAlexaffabout
Maria Lorenzi, Amy Jenefer McMillan, Linda S. Siegel, Bruno D. Zumbo, Victor Glickman, John J. Spinelli, Karen Goddard, Sheila Pritchard, Paul Rogers, Mary L. McBride

Bibliographic record

VenueCancer · 2009
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsSimon Fraser UniversityUniversity of British ColumbiaBC Children's HospitalBC Cancer Agency
Fundersnot available
KeywordsMedicineGraduation (instrument)NumeracyGerontologyPopulationCancerSurvivorship curvePediatricsDemographyFamily medicineEnvironmental healthLiteracyInternal medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Increased survival of patients with childhood cancer has resulted in a growing population of survivors within the education system, many of whom may experience educational difficulties. The current study provides a comprehensive assessment of survivors' educational achievements. METHODS: Seven hundred eighty-two childhood cancer survivors from the British Columbia (BC) Cancer Registry who attended BC schools from 1995 to 2004, were compared with a randomly selected comparison group of 8386 BC school children. Grade repetition, standard Foundation Skills Assessments (FSA), graduation-year examinations, and special education designations were compared, and factors that affected survivors' educational outcomes were identified. RESULTS: Survivors of central nervous system tumors had statistically significant FSA deficits in numeracy and reading (adjusted odds ratios from 0.2 to 0.5 in various grades); leukemia survivors also had lower FSA scores, although most differences were not statistically significant. Other survivors demonstrated no significant differences in FSA scores. Survivors were significantly more likely than controls to receive special education (32.5% vs 14.1%). Females and those who had received radiation treatment (particularly cranial radiation) were at increased risk for poor educational outcomes. CONCLUSIONS: The current results have implications for the management of survivors in the education system to maximize their educational experience.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.287
Teacher spread0.276 · 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

Citations69
Published2009
Admission routes2
Has abstractyes

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