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Record W2167548217 · doi:10.1177/160940690800700206

Using Phenomenology to Examine the Experiences of Family Caregivers of Patients with Advanced Head and Neck Cancer: Reflections of a Novice Researcher

2008· article· en· W2167548217 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
Fundersnot available
KeywordsPhenomenology (philosophy)Head and neck cancerPsychologyPerspective (graphical)Interpretative phenomenological analysisHead and neckMedical educationMedicineQualitative researchEpistemologySociologyComputer scienceCancerSocial scienceArtificial intelligenceSurgery

Abstract

fetched live from OpenAlex

Faced with a number of research methods, astute researchers carefully choose the method of research most appropriate for their inquiry. Even when there is a goodness of fit between the research design selected to conduct the study and the topic of interest, all designs pose challenges for investigators that need to be considered and addressed. This paper represents the reflections of a novice researcher regarding the issues and decisions made in the course of selecting a phenomenological approach to conduct research examining family caregivers' experiences caring for tube feeding–dependent patients with advanced head and neck cancer. As such, the article is aimed at sensitizing other novice investigators about things to consider in selecting a phenomenological perspective to answer their own research questions.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.544
GPT teacher head0.621
Teacher spread0.077 · 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