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Record W2099863825 · doi:10.1177/0894318405274809

Feeling Respected-Not Respected: The Embedded Artist in Parse Method Research

2005· review· en· W2099863825 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

VenueNursing Science Quarterly · 2005
Typereview
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity Health NetworkSunnybrook Health Science CentreYork University
Fundersnot available
KeywordsFeelingMeaning (existential)Plan (archaeology)ParsingOrder (exchange)Complement (music)PsychologyAestheticsComputer scienceArtSocial psychologyArtificial intelligencePsychotherapistHistory

Abstract

fetched live from OpenAlex

The purpose of this column is to present the plan of a research project involving researchers, artists, and research participants. The planned research project will explore with the Parse method eight universal lived experiences important to persons in community. It is anticipated that art works will complement story and text in order to enhance understanding. The authors here present the first attempt of including an embedded artist with Parse method involving one participant who spoke about her experience of feeling respected-not respected. Researcher text and artist works are shown to enhance meaning and understanding.

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)0.013
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.217
GPT teacher head0.562
Teacher spread0.345 · 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