MétaCan
Menu
Back to cohort
Record W2909242293 · doi:10.5737/2368807629133439

Altered nursing student perspectives: Impact of a pre-clinical observation experience at an outpatient oncology setting

2019· article· en· W2909242293 on OpenAlexaffvenue
Tracy Powell, Jordan Cooke, Alannah Brakke

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2019
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsAlberta Health ServicesMount Royal University
Fundersnot available
KeywordsExperiential learningMedicineNursingMeaning (existential)LicensureOncologyOncology nursingNurse educationPsychologyMedical educationPedagogyPsychotherapist

Abstract

fetched live from OpenAlex

This study examined the influence of an observation experience at an outpatient oncology setting on first-year nursing students. This experiential learning opportunity occurred prior to any formal clinical practice course. A hermeneutic phenomenology approach was used to uncover pre-licensure nursing students' perspectives about cancer, as well as their understanding of the roles and responsibilities of registered nurses in cancer care both before and following their experience. A total of 10 nursing students agreed to participate in the study. Data were collected through semi-structured interviews following which data were analyzed and interpreted to understand the meaning in the experience. Two overarching themes were identified including circles of relationships, and the many sides of outpatient oncology. This study reveals that experiential learning in the form of a low-risk, observation-only experience may be an opportunity for pre-licensure students to gain new perspectives about cancer care and nurses roles in caring for individuals and families who are impacted by cancer.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
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
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.460
Teacher spread0.403 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Oncology Nursing JournalSame topicNursing education and managementFrench-language works237,207