MétaCan
Menu
Back to cohort
Record W2779645275 · doi:10.29173/comp34

Terroir and cultural identity

2011· article· en· W2779645275 on OpenAlexaffvenue
Brent Hammer

Bibliographic record

VenueCOMPASS · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTerroirIdentity (music)Consumption (sociology)DeterminativeSociologyEnvironmental ethicsGeographyAestheticsPolitical scienceLawSocial scienceArtPhilosophy

Abstract

fetched live from OpenAlex

The purpose of this paper is to examine the relationship between terroir and cultural identity to illustrate that the concept is being employed as a means to reconnect people to the land or an ancestral heritage. The rapid pace of globalization has created a disconnect between identity and the land for many people. If it is true that 99% of human history has been spent as hunter-gathers, it is fair to say that we have a strong connection to the land as a sense of placein direct relation to food procurement. We know we can´t go back to being hunter-gathers, but it doesn´t mean we can´t seek out or desire a connection to the land or an ancestral heritage. This connection can be represented by the concept of terroir. To synthesize the various defi nitions of terroir, it is important to explore the historical origins of the term. A philosophical view establishes that the concept of terroir exists as a separate experience to be refl ected upon independentfrom the sensory experience produced by eating or drinking a food product. A selection of essays and articles are presented to illustrate that the human or cultural component is the most important factor in considering the role of terroir in shaping or creating identity at ethnic, national, regional, and individual levels. Whether one simply believes the concept is being used as a marketing gimmick or that it resonates with our identities, terroir does exist in relating place, timeand people to the production, consumption, and epistemolog y of our modern foodways.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.624

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.062
GPT teacher head0.244
Teacher spread0.182 · 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

Citations7
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueCOMPASSSame topicCulinary Culture and TourismFrench-language works237,207