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Record W4406306136 · doi:10.37433/aad.v6i1.531

International interests: Student and industry perspectives on agicultural communications curriculum development in Ontario

2025· article· en· W4406306136 on OpenAlexaboutno aff
Madison A. Dyment, Annie R. Specht, Emily B. Buck

Bibliographic record

VenueAdvancements in Agricultural Development · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmployabilityThematic analysisCurriculumPublic relationsStakeholderAgricultureFocus groupPolitical scienceQualitative researchMedical educationBusinessMarketingSociologyPedagogyGeographySocial scienceMedicine

Abstract

fetched live from OpenAlex

This study explores the potential development of an agricultural communications program at the [Institution]. It aims to understand the current knowledge of and interest in the discipline among Ontarian agriculture students and industry professionals, and the perceived importance and employability of hypothetical program graduates, contributing to the Sustainable Development Goal of quality education. Using a qualitative descriptive case study approach, focus groups with 18 students and six industry professionals were conducted. Data were collected through open-ended questions, analyzed using open coding and thematic analysis, and triangulated with demographic surveys. The findings reveal a general lack of understanding of agricultural communications among Ontarian students, who nonetheless recognize the field's potential to bridge gaps between producers and consumers, particularly through social media and diverse job opportunities. Industry professionals emphasized the growing importance of storytelling, crisis communication, and the need for poly-skilled graduates capable of addressing varied communication needs within the agricultural sector. Both stakeholder groups expressed interest in an agricultural communications academic program. Recommendations include engaging broader industry support for the program, integrating agricultural communications training across existing agricultural disciplines at the [Institution], and continuing research to refine curriculum development.

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.

How this classification was reachedexpand

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 score0.103
Threshold uncertainty score0.923

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 communication0.0000.000
Open science0.0010.001
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 head0.034
GPT teacher head0.310
Teacher spread0.276 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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