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Record W4402340442 · doi:10.1080/03155986.2024.2394376

A bargaining game model for measuring performance of two-stage structures with a fixed‑sum output

2024· article· en· W4402340442 on OpenAlex
Lei Chen, Sheng Ang, Xiaoqi Zhang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicEfficiency Analysis Using DEA
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesNatural Science Foundation of Anhui ProvinceNational Natural Science Foundation of China
KeywordsStage (stratigraphy)Mathematical economicsBargaining powerMathematicsEconomicsMicroeconomicsGeology

Abstract

fetched live from OpenAlex

As an important extension of the data envelopment analysis (DEA) model, two-stage fixed-sum output DEA models are used to measure the performance of two-stage structures where some of the outputs have a total constraint. It constructs a common equilibrium efficient frontier (EEF) through a minimum reduction strategy for fixed-sum outputs and uses this frontier as a benchmark to examine the efficiencies of two-stage structures. Since there may exist multiple EEFs in the second stage producing multiple stage efficiencies, this paper develops a Nash bargaining game model to measure the stage efficiency and overall efficiency. The efficiencies of the non-cooperative model for the two stages are used as the breakdown point and the unique bargaining efficiency scores for the two stages and the overall structure is obtained subsequently. The proposed model is applied to evaluate to evaluate the eco-efficiency of provincial industrial system in China.

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.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.238
GPT teacher head0.438
Teacher spread0.200 · 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