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Record W2886536170 · doi:10.34068/joe.56.02.24

Ramping Up Rural Workforce Development: An Extension-Centered Model

2018· article· en· W2886536170 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.

Bibliographic record

VenueJournal of Extension · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWorkforceExtension (predicate logic)Citizen journalismProcess (computing)BusinessWorkforce developmentWorkforce planningKey (lock)Economic growthRural developmentProcess managementPublic relationsKnowledge managementPolitical scienceEconomicsGeographyComputer scienceAgriculture

Abstract

fetched live from OpenAlex

Workforce development is a growing need in rural communities. This article recognizes Cooperative Extension as a critical labor market intermediary in fostering local workforce solutions. It proposes a community-based approach with Extension at the center of a process for identifying key stakeholders, facilitating collaboration, and supporting data-driven decisions. Through participatory methods and economic analysis of local industries, our team engaged over 120 stakeholders from two rural regions in the Great Plains. Our findings show that Extension plays an important role in promoting cross-sectoral collaboration to address complex workforce issues, enhance community capacity, and mobilize local action.

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 score0.845
Threshold uncertainty score0.316

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 science0.0000.000
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 head0.131
GPT teacher head0.312
Teacher spread0.181 · 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