Evaluation of Delphi-Based Expert Elicitation Calibration for Artificial Intelligence Agriculture Governance Foresight Under Partisan Scenario Framing: A Political Science Validity Bound for Anticipatory Policy Advice

Mzé, Saïd Abdou, Soilihi, Halidi Moussa

Open source

DOI
10.5281/zenodo.23544700
Published
2026
Container
Not recorded
Publisher
Zenodo
Open access
yes

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BibTeX

@article{allodium:10.5281/zenodo.23544700,
  title = {Evaluation of Delphi-Based Expert Elicitation Calibration for Artificial Intelligence Agriculture Governance Foresight Under Partisan Scenario Framing: A Political Science Validity Bound for Anticipatory Policy Advice},
  author = {Mzé, Saïd Abdou and Soilihi, Halidi Moussa},
  year = {2026},
  doi = {10.5281/zenodo.23544700},
  url = {https://doi.org/10.5281/zenodo.23544700}
}

RIS

TY  - JOUR
TI  - Evaluation of Delphi-Based Expert Elicitation Calibration for Artificial Intelligence Agriculture Governance Foresight Under Partisan Scenario Framing: A Political Science Validity Bound for Anticipatory Policy Advice
AU  - Mzé, Saïd Abdou
AU  - Soilihi, Halidi Moussa
PY  - 2026
DO  - 10.5281/zenodo.23544700
UR  - https://doi.org/10.5281/zenodo.23544700
ER  - 

APA

Abdou, M. S., & Moussa, S. H. (2026). Evaluation of Delphi-Based Expert Elicitation Calibration for Artificial Intelligence Agriculture Governance Foresight Under Partisan Scenario Framing: A Political Science Validity Bound for Anticipatory Policy Advice. https://doi.org/10.5281/zenodo.23544700

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