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When history does not matter? The rise of Quebec’s wine industry

2021· article· en· W4200396895 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeoforum · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsMcGill UniversityHEC Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAgency (philosophy)Path dependencePath (computing)Economic geographyPath dependentWinePolitical scienceEconomic systemEconomyEconomicsBusinessSociologyNeoclassical economicsComputer scienceSocial science

Abstract

fetched live from OpenAlex

This article contributes to the debate on new regional path development, proposing an analytical framework that accounts for new industries arising almost ex nihilo in places with weakly developed preconditions. The paper explores how seemingly adverse initial conditions can be translated into a new development path over time and casts light on the interplay between structure and agency in such settings. We find that new path development processes are not necessarily conditioned by past trajectories or by prior regional and technological capabilities, but can be initiated by forward-looking, entrepreneurial pioneers and consolidated by actors who develop the wider institutional and organizational structures to facilitate further growth of the new industry. We study the case of the wine industry in Southern Quebec, which emerged despite weakly developed preconditions and developed into a fully established, legitimized and supported path over the past forty years.

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.

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 categoriesInsufficient 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 score0.210
Threshold uncertainty score0.993

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)0.0080.000

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 head0.016
GPT teacher head0.199
Teacher spread0.184 · 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