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A gift to your family

2011· article· en· W2155351062 on OpenAlexaffabout
Douglas McGregor, Pat Porterfield, Michael A. Tolson

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2011
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsVancouver Coastal Health
Fundersnot available
KeywordsPublic relationsPublic engagementPublic healthPublic involvementPolitical scienceCommunity engagementMedical educationPsychologySociologyMedicineNursing

Abstract

fetched live from OpenAlex

This workshop will describe an initiative within a Canadian health authority (Vancouver Coastal Health, referred to as VCH), in which the Community Engagement Team and the Advance Care Planning (ACP) project leadership partnered to seek this public engagement. To better understand the public's perspectives, and to facilitate greater public acceptance of ACP in our health region, a public forum was held in March 2010. The workshop will outline the forum participants, the program including discussion topics and the outcomes. Themes discussed at the forum included key aspects of public messaging, countering public fear by ‘normalising’ ACP conversations, and supporting patients and families to have these conversations. It was acknowledged that some members of the public might be mistrustful or worried about the intent and outcomes of ACP and thus the need to emphasize the benefits of ACP, ‘a gift to your family’. The forum influenced the emphasis of the ACP project on the importance of communication, the language used for public information, and the ways in which the public are involved in education. At the forum, a number of public participants expressed interest in assisting with public education; subsequently, a group of volunteers has been trained and will present ACP workshops to public groups in our region. The experience of these volunteers will continue to inform our VCH approach to ACP.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.360
GPT teacher head0.482
Teacher spread0.121 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2011
Admission routes2
Has abstractyes

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