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Record W4408796901 · doi:10.18461/ijfsd.v13i1.a4

Price Dependence in the Supply Chain on the Mushroom Market in Canada

2022· article· en· W4408796901 on OpenAlexaboutno aff
Wioleta Sobczak, Vinay Kanetkar

Bibliographic record

VenueInternational journal on food system dynamics · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsMushroomAgribusinessSupply chainBusinessAgricultural economicsIndustrial organizationAgricultural scienceCommerceEconomicsMarketingAgricultureFood scienceBiology

Abstract

fetched live from OpenAlex

The aim of this dissertation is to assess the dependence in the mushroom supply chain in Canada. Statistical research has proven that there exists vertical transmission of prices between those of the producers, wholesalers and retailers. According to the results, retail prices, which are definitely higher than prices at other distribution levels, did not exhibit a statistically significant relationship with other prices. At this stage of distribution, the level of prices depended mainly on values in previous periods at the same stage of sales. At the stage of wholesale trade and the producer’s level, relations in price formation were demonstrated. The autoregressive distributed lag model (ARDL) therefore indicates the occurrence of asymmetry in the transmission of mushroom prices between trade levels. The results suggest that retail prices paid by the final consumers depend on retail prices from previous months. Wholesale prices seem to be significantly affected by both producer prices and retail prices. At the same time, it was pointed out that producer prices depend on prices from previous periods and as well as on those applied at the wholesale level.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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