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Record W2015510410 · doi:10.1080/09654310902949240

A Comparative Study of the Aquaculture Innovation Systems in Quebec's Coastal Region and Norway

2009· article· en· W2015510410 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Planning Studies · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsUniversité du Québec à RimouskiUniversity of Ottawa
Fundersnot available
KeywordsAquacultureNorwegianBusinessInnovation systemRegional developmentEconomic geographyRegional scienceGeographyEnvironmental planningFisheryFish <Actinopterygii>Industrial organization

Abstract

fetched live from OpenAlex

This paper examines the actors and activities and the institutional–spatial dynamics that characterize innovation and knowledge processes within the aquaculture industry and its support organizations in the coastal region of Quebec, Canada. It aims to identify the main features and components of such support organizations and their roles in entrepreneurial and knowledge processes. Comparing this Canadian case with the more developed Norwegian innovation system in aquaculture, the paper concludes that the market possibilities for the products of aquaculture are almost the same in Norway and Quebec. However, it is the policy and institutional settings, as well as the historical trajectories of the respective innovation systems, which seem to explain the growth of the aquaculture industry in Norway and its less successful development in Quebec. The paper also investigates the conditions and institutional arrangements that may stimulate the building and development of a more mature aquaculture innovation system support in Quebec's coastal region.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.219

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 science0.0000.001
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 head0.043
GPT teacher head0.278
Teacher spread0.235 · 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