Part II: A Critical Review of Qualitative Research Related to Children's Experiences With Cancer
Bibliographic record
Abstract
Using the qualitative research process to study children's experiences with cancer is being promoted because it is believed that it will afford researchers the opportunity to access children's perspectives of their cancer experiences. A detailed understanding of children's experiences with cancer will result, including a description of their feelings, wants, needs, and concerns. The information gained from qualitative research will help pediatric oncology nurses to better understand what their patients are experiencing. Although adoption of the qualitative paradigm in the study of childhood cancer is in its infancy, qualitative research findings related to children's perspectives of cancer are now slowly emerging. Accordingly, the purpose of this article is to identify some of the meaningful contributions that qualitative research has made in advancing the knowledge base of children's cancer experiences. The first section of this article discusses major themes that have evolved from use of the qualitative research process in the study of children's cancer experiences. This discussion is followed by a critique of the research with suggestions that will aid pediatric nurse researchers in conducting qualitative research when children with cancer are the research participants.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".