MétaCan
Menu
Back to cohort
Record W3122271560 · doi:10.1002/mde.3285

Do the subsidies help or hurt the remanufacturing closed‐loop supply chain?

2021· article· en· W3122271560 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueManagerial and Decision Economics · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsRemanufacturingSubsidySupply chainPurchasingClosed loopProfit (economics)BusinessIndustrial organizationMicroeconomicsIncentiveEconomicsMarketingManufacturing engineeringMarket economyEngineering

Abstract

fetched live from OpenAlex

This study investigates the impacts of the purchasing subsidy (PS) and the dismantling subsidy (DS) on a remanufacturing closed‐loop supply chain with a manufacturer and a dismantling firm. We propose two game models, one with the DS and the other without the DS. We find that an increased PS or DS may be unable to enhance the dismantling firm's efforts. The DS reduces the system profit in contrast to the scenario without the DS. Surprisingly, a simultaneous increase in the two subsidies exacerbates the environmental impacts of remanufacturing closed‐loop supply chain.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.217
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