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Record W2128221807 · doi:10.1177/0272989x07302127

Extrinsic Goals and Time Tradeoff

2007· article· en· W2128221807 on OpenAlexaff
Marjon van der Pol, Alan Shiell

Bibliographic record

VenueMedical Decision Making · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this article is to investigate the extrinsic goals hypothesis in time tradeoff (TTO). The extrinsic goal of interest here is seeing children through to maturity. In TTO, the time it takes to attain this goal becomes a target life expectancy, with no trades happening below the critical value implied by the target, no matter how severe the health state. METHODS: A combined quantitative and qualitative approach was used to elicit values for 4 EQ-5D states from 30 recent mothers. The qualitative analysis allowed the researchers to explore with participants whether a target life expectancy was being used. RESULTS: The differences in the visual analogue scale and TTO scores of the mothers compared with the general population suggest that the mothers value life-years differently than the general population does. The finding was also consistent with the target life expectancy hypothesis. However, the interview data were not so strongly supportive of the target life expectancy hypothesis. Although some women suggested this had motivated their responses to the TTO, the interviews paint a more complicated and nuanced picture of what drives a person's responses to health valuation surveys. CONCLUSIONS: A higher value was assigned to life-years relative to quality of life by recent parents, but there was no reduction in the willingness to trade per se. Parenthood affects how much one will trade for better health but not whether one will trade in the 1st place. This conclusion became apparent only when the qualitative and quantitative data were combined.

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)0.035
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.274
GPT teacher head0.468
Teacher spread0.194 · 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 designTheoretical or conceptual
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

Citations24
Published2007
Admission routes1
Has abstractyes

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