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Record W2150327637 · doi:10.1177/0894318405274831

Exploring Being: An International Dialogue

2005· review· en· W2150327637 on OpenAlexaboutno aff
Steven L. Baumann

Bibliographic record

VenueNursing Science Quarterly · 2005
Typereview
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)Position (finance)Session (web analytics)Order (exchange)SociologyHuman beingPsychologyNursingPolitical sciencePublic relationsMedical educationMedicineLawSocial scienceBusiness

Abstract

Nurses and other health professionals are in a privileged position in that they are called to be with people and their families at some of the most important moments in persons' lives. In order to better prepare nurses for this awesome and challenging responsibility, a session of the 11th International Human Becoming Conference held in Niagara Falls, Ontario, Canada, on November 6, 2004, reflected on famous quotations on Being and related Being to nursing practice. The human becoming school of thought is unique in its willingness to face the important but difficult question, what is Being?

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: conceptual
about Canada: no
confidence: medium

Philosophical dialogue on Being within the human becoming school of nursing; the object is nursing practice/philosophy, not research.

GPT-5.6 (high)OUT
genre: conceptual
about Canada: no
confidence: high

It discusses philosophical ideas in nursing practice, not research itself.

Grok 4.5OUT
genre: editorial/commentary
about Canada: no
confidence: high

Nursing philosophy dialogue on Being and practice; clinical theory, not study of research systems.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.010
Science and technology studies0.0030.009
Scholarly communication0.0080.014
Open science0.0010.007
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.334
GPT teacher head0.381
Teacher spread0.047 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2005
Admission routes1
Has abstractyes

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Same venueNursing Science QuarterlySame topicClassical Philosophy and ThoughtFrench-language works237,207