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Record W2774084165 · doi:10.1108/tcj-09-2016-0071

Passion or profit: Bloody Creek Vineyard

2017· article· en· W2774084165 on OpenAlexaff
Daphne Rixon, Karen Lightstone

Bibliographic record

VenueThe CASE Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsVineyardRowanSociologyManagementHistoryEconomicsArchaeology

Abstract

fetched live from OpenAlex

Synopsis Edward Rowan, 89 year-old patriarch and the Rowan family were trying to decide if they should start a vineyard in the Nova Scotia Annapolis Valley. Edward had a life-long dream of starting a vineyard on this five-acre farm. Edward, his son David and granddaughter Mary along with their respective spouses had agreed to be partners and provide financing to start the vineyard. The time had arrived to make a decision because they had to order the vines by the end of the month. While they have an extended family to provide free labor for planting, pruning and harvesting along with free access to the necessary machinery, they wanted to be sure that they did not lose money on the venture. They recognized the first four to five years would not generate profits, but they wanted to ensure that in the long term the venture would be viable. Research methodology This case was developed from an interview with Donna Rowan, a documentary review of the family’s estimates as well as an interview with the owner of a well-established vineyard in the Annapolis Valley. Secondary sources were used to provide information on the industry and average costs to operate a vineyard. The case uses a partial disguise with respect to the names of family members. The case was tested at the Atlantic Schools of Business student case competition where ten teams from different Atlantic universities participated. The authors were not judges and all suggested changes have been incorporated in the case. Relevant courses and levels The relevant courses are: managerial accounting undergraduate programs; intermediate accounting and entrepreneurship courses in undergraduate programs; second-level accounting and entrepreneurship courses in MBA programs; and professional accounting programs’ CPA.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.000
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 head0.052
GPT teacher head0.280
Teacher spread0.228 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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