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Record W562951150 · doi:10.4324/9781315789408

Choice, Decision, and Measurement: Essays in Honor of R. Duncan Luce

2019· book· en· W562951150 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldDecision Sciences
TopicGame Theory and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHonorHistoryComputer science

Abstract

fetched live from OpenAlex

Contents: Preface. List of Contributors. List of Referees. Part I: Introduction. R. Duncan Luce, The Past Seven Years: 1988-95. Part II: Decision Making and Risk. P. Fishburn, Bookends: Recollections of a Decision Theorist. D. von Winterfeldt, Empirical Tests of Luce's Rank- and Sign-Dependent Utility Theory. E.U. Weber, The Utility of Measuring and Modeling Perceived Risk. B.A. Mellers, A. Schwartz, E.U. Weber, Do Risk Attitudes Reflect in the Eye of the Beholder? M.H. Birnbaum, Violations of Monotonicity in Judgment and Decision Making. Part III: Preference, Measurement Theory, and Axiomatic Systems. P. Suppes, Duncan Luce as Measurement Theorist. J-C. Falmagne, M. Regenwetter, B. Grofman, A Stochastic Model for the Evolution of Preferences. J.I. Yellott, Jr., Preference Models and Irreversibility. R. Niederee, D. Heyer, Generalized Random Utility Models and the Representational Theory of Measurement: A Conceptual Link. L. Narens, On Subjective Intensity and Its Measurement. M.V. Levine, S. Tsien, A Geometric Approach to Two Dimensional Measurement. J. Aczel, Bisymmetry and Consistent Aggregation: Historical Review and Recent Results. Part IV: Psychophysics and Response Time. W.J. McGill, The Writer Is Indebted to a Referee... H. Colonius, J.T. Townsend, Activation-State Representation of Models for the Redundant-Signals-Effect. E.N. Dzhafarov, Process Representations and Decompositions of Response Times. P. Karpiuk, Jr., Y. Lacouture, A.A.J. Marley, A Limited Capacity, Wave Equality, Random Walk Model of Absolute Identification. G. Iverson, D. Bamber, The Generalized Area Theorem in Signal Detection Theory. Part V: Choice and Categorization. W.K. Estes, Some Reflections on the Role of the Choice Model in Theories of Categorization, Identification, and Learning. R.M. Shiffrin, A Network Model for Multiple Choice: Accuracy and Response Times. R.M. Nosofsky, An Exemplar-Based Random-Walk Model of Speeded Categorization and Absolute Judgment. F.G. Ashby, P.M. Berretty, Categorization as a Special Case of Decision-Making or Choice. D. LaBerge, R.L. Carlson, J.K. Williams, Toward an Analytic Model of Attention to Visual Shape. Part VI: Scientific Publications of R. Duncan Luce.

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)0.005
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.005
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0130.007

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 head0.116
GPT teacher head0.357
Teacher spread0.242 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations210
Published2019
Admission routes1
Has abstractyes

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Same topicGame Theory and ApplicationsFrench-language works237,207