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Record W2905125939 · doi:10.1007/978-3-319-95101-0_12

Public Education and Outreach Opportunities for Crop Wild Relatives in North America

2018· book-chapter· en· W2905125939 on OpenAlexfundno aff
Tara Moreau, Ari Novy

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaUniversity of British Columbia
KeywordsOutreachPublic engagementStakeholder engagementStakeholderAgriculturePublic educationPrioritizationPublic relationsPolitical scienceEnvironmental planningEnvironmental resource managementGeographyBusinessPublic administration

Abstract

fetched live from OpenAlex

Successful programs of crop wild relative (CWR) exploration, conservation, and utilization are ultimately dependent on sustained public prioritization and support, which in turn requires public awareness and engagement. Here we discuss the importance of advancing North America public education and outreach activities related to CWR, including improving capacity for public engagement, stakeholder building, partnering for education and outreach, and programmatic development. We focus specifically on the potential of botanic gardens as excellent partners for public engagement on CWR due to their presence in major population centers, knowledge of informal educational practices, and familiarity with plant biodiversity and agricultural crop species. We also discuss CWR outreach efforts outside of North America as well as related environmental education efforts within the region. This chapter provides an informal education and outreach primer for researchers who want to incorporate public engagement into their CWR research programs, as well as for informal education professionals seeking to capitalize on the growing public interest in food systems to explore food-related biodiversity topics.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.699
Threshold uncertainty score0.997

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)0.0040.000

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 head0.195
GPT teacher head0.330
Teacher spread0.135 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2018
Admission routes1
Has abstractyes

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