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Record W2305972668

The American Whiskey Renaissance: The Rebirth of an American Spirit

2015· article· en· W2305972668 on OpenAlexaboutno aff
Charles A. Rarick, Claudia C. Mich

Bibliographic record

VenueJournal of the International Academy of Case Studies · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityTreasuryRevenueExciseGovernment (linguistics)EconomicsEconomic historyAdvertisingLawAgricultural economicsBusinessPolitical scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Whiskey making has a long history in the United States. Even President George Washington owned a distillery. In the early days of American making, many distillers were farmers who also produced and sold as a source of additional income. In 1791, the U.S. Secretary of the Treasury, Alexander Hamilton, placed a 25% tax on distillers in order to generate revenue for the young country. Most of these distillers were operating small production facilities and many were located in Pennsylvania. They greatly objected to a tax imposed by the federal government. By 1794 the hostility grew into a rebellion, called Whiskey Rebellion which caused the federal government to send troops to enforce the tax (video). The result was the relocation of distillers to the West, most notably to Kentucky. Over time was being produced in a number of states, including Tennessee which produced the famous Jack Daniel's brand. The popularity of grew over the years and reached its heyday in the 1950s in the U.S., but soon the drink lost popularity and sales declined. During the past decade American has experienced a renaissance, both in the United States and internationally. Whiskey is once again a popular drink and that popularity is growing exponentially in foreign markets. Whiskey producers have expanded capacity and new entrants have entered the market. Whiskey distillers in the United States can now be found from Alaska to Florida, many producing popular small batch lines. The general feeling in the industry is that this popularity will continue, however, it is yet to be seen if this surge will be long-lasting or simply a fad. WHISKEY, BOURBON, OR SCOTCH? The word whiskey, or whisky, has a Gaelic origin meaning of life. There is often some confusion about the differences among (or whisky), bourbon, and scotch. In the end they are all but their contents and location of production make them different products. They are all alcoholic drinks distilled with grain. While there are a number of nuances that make each different, the main differences can be briefly summarized. As far as the difference in spelling, the term whiskey is used for products produced in the United States and Ireland, and whisky is used for products produced in Canada and Scotland. Bourbon, by law, must be produced in the United States, and most of it is produced in the state of Kentucky. Since bourbon can only be made in the United States, the drink is sometimes referred to America's whiskey. Bourbon must be produced from a mash of at least 51% corn, distilled at a level no higher than 160 proof, stored in new charred oak barrels, and aged for a minimum of two years (although most bourbon is aged longer). Tennessee Whiskey is not bourbon and has its own legal requirements. While similar to the requirements of bourbon, Tennessee Whiskey must be made in the state of Tennessee and be charcoaled filtered using sugar maple charcoal. Scotch is a produced in Scotland and malted barley as the main ingredient. All goes through a six-step process which includes preparation, mashing, fermenting, distilling, aging, and bottling (Figure 1). The preparation phase involves crushing and then cooking grain. The mashing process adds water to the crushed grain. Fermentation involves adding yeast, which converts to alcohol and through distillation, the alcohol is turned into a vapor. Water is added to the vapor runoff and stored in barrels for aging. After the has aged to the desired number of years it is then bottled and is ready for sale. Unlike some spirits, requires aging and therefore has a long lead time between production and availability for sale. A ten-year bottle of requires ten years of aging. While some blending of younger and older is not an uncommon practice, ramping up production still requires years until the product is ready for sale (video). …

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.135
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.339
Teacher spread0.274 · 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 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

Citations4
Published2015
Admission routes1
Has abstractyes

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Same venueJournal of the International Academy of Case StudiesSame topicWine Industry and TourismFrench-language works237,207