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Record W6925480807 · doi:10.17605/osf.io/r27ey

Can transaction cost subsidies increase cost-effectiveness of conservation auctions? A randomized controlled trial

2022· other· en· W6925480807 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2022
Typeother
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyTransaction costReverse auctionBiddingPaymentCommon value auctionIncentiveDatabase transaction

Abstract

fetched live from OpenAlex

This project tests the efficiency of reverse auctions as a mechanism to incentivize the adoption of small grains and cover crops in Ontario, Canada. We will analyze bids submitted through the 2022 Spring Small Grains Program administered as a reverse auction by the Ecological Farmers Association of Ontario (EFAO). The cost-effectiveness will be benchmarked towards the previous flat-rate cost-share program launched by the EFAO in 2020. The causal effect of two orthogonal treatments will be tested. Specifically, we will randomize a $50 transaction cost subsidy at the county level and an educational nudge at the individual level. The efficiency of payments for ecosystem services (PES) is of interest to policymakers, program managers, and the scientific community. Transaction cost has been identified as a key barrier to participation; while lack of sufficient participants and bid-shading behavior are the two major factors that decrease PES auction efficiency. This study precisely investigates how transaction cost subsidies and an educational nudge affect the participation and bidding behavior in a reverse auction.

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)0.017
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.408
Teacher spread0.365 · 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 teacher head, not a consensus.

Study designRandomized trial
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

Citations0
Published2022
Admission routes1
Has abstractyes

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