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Émilie Proulx

Biographic Data

ID6543154
NAMEÉmilie Proulx
GIVEN NAMESÉmilie
FAMILY NAMEProulx
SIGNATUREPROULX É
AFFILIATIONSUniversité Laval
ORCID0009-0005-8671-1018
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Prompting the Machine

    Open Access•Laurence-Olivier M Foisy, Émilie Proulx et al.•ARTICLE•Social Science Computer Review•2025•Cited by: 1•References: 3

    This research note addresses a methodological gap in the study of large language models (LLMs) in social sciences: the absence of standardized data extraction procedures. While existing research has examined biases and the reliability of LLM-generated content, the establishment of transparent extraction protocols necessarily precedes substantive analysis. The paper introduces a replicable procedural framework for extracting structured political d…

  • Towards sustainable and ocean-friendly aquafeeds

    Open Access•Pallab K Sarker, Anne R Kapuscinski et al.•ARTICLE•Elementa Science of the…•2020

    Aquaculture, the fastest growing food sector, is expected to expand to produce an additional 30 million metric tons of fish by 2030, thus filling the gap in supplies of seafood for humans. Salmonids aquaculture exploits the vast majority of fishmeal and fish oil rendered from ocean-dwelling forage fish. Most forage fish diverted to these commodities are human-food grade, and all are primary prey for marine predators. Rising costs, price volatilit…

  • Prompting the Machine

    Open Access•Laurence-Olivier M Foisy, Émilie Proulx et al.•ARTICLE•Social Science Computer Review•2025•Cited by: 1•References: 3

    This research note addresses a methodological gap in the study of large language models (LLMs) in social sciences: the absence of standardized data extraction procedures. While existing research has examined biases and the reliability of LLM-generated content, the establishment of transparent extraction protocols necessarily precedes substantive analysis. The paper introduces a replicable procedural framework for extracting structured political d…

  • Towards sustainable and ocean-friendly aquafeeds

    Open Access•Pallab K Sarker, Anne R Kapuscinski et al.•ARTICLE•Elementa Science of the…•2020

    Aquaculture, the fastest growing food sector, is expected to expand to produce an additional 30 million metric tons of fish by 2030, thus filling the gap in supplies of seafood for humans. Salmonids aquaculture exploits the vast majority of fishmeal and fish oil rendered from ocean-dwelling forage fish. Most forage fish diverted to these commodities are human-food grade, and all are primary prey for marine predators. Rising costs, price volatilit…

  • Prompting the Machine

    Open Access•Laurence-Olivier M Foisy, Émilie Proulx et al.•ARTICLE•Social Science Computer Review•2025•Cited by: 1•References: 3

    This research note addresses a methodological gap in the study of large language models (LLMs) in social sciences: the absence of standardized data extraction procedures. While existing research has examined biases and the reliability of LLM-generated content, the establishment of transparent extraction protocols necessarily precedes substantive analysis. The paper introduces a replicable procedural framework for extracting structured political d…

Algae (1 work) · Aquaculture (1 work) · Aquaculture Nutrition and Growth (1 work) · Authorship Attribution and Profiling (1 work) · Biochemistry (1 work) · Biology (1 work) · Botany (1 work) · Chemistry (1 work) · Chromatography (1 work) · Commercial fish feed (1 work)

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