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Record W2463268213 · doi:10.1177/1476750316656041

Collaborating for community food security: Emerging scholar participation in a community–university partnership

2016· article· en· W2463268213 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAction Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of GuelphWilfrid Laurier University
FundersUniversity of Guelph
KeywordsGeneral partnershipPublic relationsWork (physics)Food securitySociologyPolitical sciencePerspective (graphical)Affect (linguistics)Engineering ethicsAgriculture

Abstract

fetched live from OpenAlex

In recent years, there has been rapid growth in community–university partnerships. As part of this trend, emerging scholars, including graduate students and postdoctoral fellows, have demonstrated significant interest in being part of community-engaged research projects. However, while there is a growing body of literature on the general subject of CU partnerships, the perspective of emerging scholars is not adequately addressed. In this paper, we aim to address that gap by presenting the case of a specific partnership – one that focused on the issue of community food security – and highlighting the role played by emerging scholars. We suggest that some of the challenges and opportunities characteristic of CU work affect emerging scholars, and the partnerships in which they are involved, in unique ways. Because we view emerging scholar participation in engaged research as valuable for both researchers and community partners, we argue in favour of developing institutional spaces that can support their involvement in CU partnerships by providing opportunities to do the work, facilitating skill building and creating communities of practice.

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)0.023
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.371
GPT teacher head0.504
Teacher spread0.133 · 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