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Record W2569107530 · doi:10.21061/valib.v60i1.1287

The Library of Virginia Cookbook Collection

2014· article· en· W2569107530 on OpenAlexaboutno aff

Bibliographic record

VenueVirginia Libraries · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsEstateArgument (complex analysis)Character (mathematics)Reading (process)HistoryLibrary scienceAdvertisingBusinessComputer scienceLawPolitical scienceMathematics

Abstract

fetched live from OpenAlex

My obsession with collecting cookbooks for the Library of Virginia began after a very savvy book dealer offered me a collection of Virginia cookbooks of “genealogical significance and import.” The fellow is a very good salesman and made a convincing argument, but his prices were more than I wanted to pay. He did, however, inspire me to begin looking for cookbooks in the aforementioned thrift stores and estate sales, where I usually pay from fifty cents to a couple of dollars for a book. Once in a while I am tempted to pay retail for a particularly good regional cookbook or a very unusual collective work. But usually I spend no more than $5. I seldom spend Library funds for cookbooks, but there are exceptions. For example, a few months ago a rare book dealer “offered” the Library a copy of the 1921 Hampton Institute cookbook, A Book of Recipes for the Cooking School, by Carrie Alberta Lyford, for about $275. However, after a bit of research I discovered that very edition still available at the Hampton Museum for $40. I’m sure the dealer’s copy has character, but the Library was able to acquire a pristine example for a very reasonable price. Considering fewer than 25 OCLC libraries hold the book, it can be considered scarce (though perhaps not rare).

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.005
GPT teacher head0.164
Teacher spread0.159 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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