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Record W3189160792 · doi:10.1017/s1742170521000314

What's eating North America's edible insect industry? An examination of psychological, cultural and regulatory barriers

2021· article· en· W3189160792 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRenewable Agriculture and Food Systems · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationConsumption (sociology)BusinessEuropean unionProduction (economics)Edible plantsFood industryValue (mathematics)BiotechnologyNatural resource economicsEconomicsBiologyFood scienceInternational tradePolitical science

Abstract

fetched live from OpenAlex

Abstract Although research has demonstrated the positive nutritional value and environmental benefits associated with edible insect consumption, several factors challenge the growth and development of the edible insect industry for human consumption in the US and Canada. Cultural and psychological factors account for much of the aversion US and Canadian consumers display. The absence of specific regulation also constitutes a structural barrier to more widespread production and sale of edible insects. Compared to the US, the European Union has a more developed edible insect industry and has enacted legislation that removes some of the barriers. As consumer awareness of the putative health benefits of edible insects increases, more comprehensive regulations may emerge to keep pace with the growth of this industry. Overall, a multi-disciplinary approach that addresses both benefits and barriers to consumption is needed to facilitate a robust market for edible insects in the US and Canada.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.035
GPT teacher head0.247
Teacher spread0.212 · 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