MétaCan
Menu
Back to cohort
Record W2171747578 · doi:10.1558/hscc.v6i2.32

Ministry Behind a Mask

2003· article· en· W2171747578 on OpenAlexaffabout
Bruce Pierce

Bibliographic record

VenueHealth and Social Care Chaplaincy · 2003
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsChristian ministryPerspective (graphical)OutbreakAdversaryHealth careInfection controlMedicineNursingIntensive care medicinePolitical scienceLawArtComputer securityVirology

Abstract

fetched live from OpenAlex

The outbreak of Severe Acute Respiratory Syndrome (SARS) which occurred in Canada, notably Toronto, in spring 2003 gave rise to two responses which together have profoundly affected the healthcare environment:_ stringent infection control measures, and fear of an unknown enemy. From his perspective as chaplain resident at Toronto General Hospital, the author describes the chaplaincy response to the ‘new normal’ in hospital life. He identifies the problems created, and stresses the need to adapt to a new healthcare environment ‘behind the mask’.

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)0.005
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.199
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.003
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0400.008

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 head0.095
GPT teacher head0.420
Teacher spread0.325 · 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
GenreCommentary

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
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueHealth and Social Care ChaplaincySame topicFamily and Patient Care in Intensive Care UnitsFrench-language works237,207