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Record W2293162557 · doi:10.14288/1.0101948

Analysis of the potential institutional demand in processed desserts for British Columbia tree fruits

2011· article· en· W2293162557 on OpenAlexaffabout
Michael Thomas Barry

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTree (set theory)AdvertisingForestryGeographyBusinessMathematics

Abstract

fetched live from OpenAlex

The tree fruits industry in British Columbia distributes its products in both fresh and processed forms. The processed fruit industry, through Sun-Rype Products Limited, a wholly owned subsidiary of B.C. Tree Fruits Limited, is an important and profitable part of the tree fruits industry in British Columbia. Expansion of this industry, however, depends upon finding new market opportunities. The purpose of this paper was to gather information on the size and characteristics of the British Columbian institutional market for frozen fruit-based desserts. Such an investigation appeared essential given the facts that the number of processed fruit products were very limited and institutions were increasing both their share of the food dollar and their consumption of frozen foods. Obtaining the necessary information involved the collecting of all relevant published data as well as the conducting of personal interviews. The published data were limited but did provide both a general background on the institutions' food requirements and statistics on gross sales. To break these gross statistics down into more meaningful potential dessert sales required interviewing several Greater Vancouver institutions. These interviews provided data on various food costs and more detailed information on dessert requirements. The results of the investigation indicated that the demand of the British Columbian institutional market for frozen fruit-based desserts was not large but the costs of producing, marketing, and shipping such desserts would also have to be examined before a final decision to enter or not to enter the market was made.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.149
Teacher spread0.139 · 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 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
Published2011
Admission routes2
Has abstractyes

Explore more

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