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Record W2158922194 · doi:10.1177/0969733007071358

The Terminal: A tale of virtue

2006· review· en· W2158922194 on OpenAlexaff
Wendy Austin

Bibliographic record

VenueNursing Ethics · 2006
Typereview
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsVirtueTerminal (telecommunication)DutyCharacter (mathematics)DispositionVirtue ethicsAestheticsSociologyLawPsychologySocial psychologyComputer sciencePhilosophyPolitical science

Abstract

fetched live from OpenAlex

The movie, The terminal, is used to illustrate MacIntyre's description of virtue ethics. The terminal is a mythical tale about a traveler, Viktor Navorski, who is stranded by circumstances in a New York airport. Viktor is a person who, without a strict reliance on duty or rules, has developed the disposition to act well despite variation in his circumstances. His character is revealed in contrast to that of three other characters: a cleaner, a flight attendant and the airport manager. Stories like this one may be a good way to open dialogue among clinicians about being virtuous as a practitioner. Such dialogue may make striving to be virtuous an acceptable goal for practitioners and less like an idealistic, pseudo-goal for those aiming for sainthood.

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 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)0.001
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.258
GPT teacher head0.418
Teacher spread0.160 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

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