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Record W4405346611 · doi:10.24908/jcri.v11i2.18241

Imagining Futures Amidst the Uncertainty of Living: A Critical Participatory Action Research Project with Adolescents and Young Adults with Lived Experiences with Cancer

2024· article· en· W4405346611 on OpenAlexafffundvenue
Tiffany Hill, Ian Cooper, Vinesha Ramasamy, Nellie Yee, Cheryl Heykoop

Bibliographic record

VenueJournal of Critical Race Inquiry · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsRoyal Roads University
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BCVancouver Foundation
KeywordsParticipatory action researchTransformative learningFutures contractSociologyQueerAction researchGender studiesIndigenousCitizen journalismPsychologyPublic relationsPedagogyPolitical science

Abstract

fetched live from OpenAlex

In this paper we share key insights from an 18-month participatory research project exploring the lived experiences and realities of cancer among racialized adolescents and young adults (AYAs). Written collaboratively with adolescent and young adult co-thinkers, we discuss the creative methodologies used in the study, critical and imaginative frameworks within Indigenous, Black and queer of colour theorizing, and the value of an interdisciplinary approach for understanding the cancer care experiences of racialized adolescents and young adults. The analysis explores five core research themes, which highlight what the project offered to the adolescents and young adults who participated: a place to meaningfully participate, to be understood in their complexity, to create and be creative, to be in community, and to imagine their desired futures. We argue for a meaningful and inclusive engagement of AYAs in cancer care systems and research, urging healthcare practitioners and researchers to recognize the complexities of AYAs' lives and experiences. Ultimately, we advocate for transformative changes in cancer care research and practice, with the goal of supporting AYAs as active agents in their own care and futures.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
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 head0.172
GPT teacher head0.491
Teacher spread0.319 · 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 designQualitative
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

Citations1
Published2024
Admission routes3
Has abstractyes

Explore more

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