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Record W3024985668 · doi:10.5737/23688076302119124

http://canadianoncologynursingjournal.com/index.php/conj/article/view/1053

2020· article· en· W3024985668 on OpenAlexaffvenue
Debbie Kane, Dale Rajacich, Chantal Andary

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

BUT: Cette étude s'est intéressée à l'expérience de survivants du cancer qui sont demeurés sur le marché du travail pendant leurs traitements ou y sont retournés après. MÉTHODOLOGIE: À l'aide d'un devis exploratoire qualitatif, huit entrevues individuelles ont été réalisées auprès de patients traités pour différents cancers qui occupaient tous un emploi avant de recevoir le diagnostic. RÉSULTATS: Les participants ont exprimé que le travail leur procurait un sentiment de normalité et d'identité personnelle, qu'il leur donnait un objectif. Sauf pour une participante, tous ont formulé les avantages de fréquenter un milieu de travail compréhensif. Plusieurs participants ont admis avoir vécu un stress financier, ignorant où trouver de l'aide financière. CONCLUSION: D'autres recherches sont nécessaires afin de mieux explorer comment l'équipe soignante et l'employeur peuvent promouvoir des milieux de travail favorables et faciliter l'accès des personnes cancéreuses aux ressources financières.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.657
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.312
Teacher spread0.283 · 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 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

Citations2
Published2020
Admission routes2
Has abstractyes

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