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Record W3049056823

Capacity needs assessments - A trainers' manual

2019· book· en· W3049056823 on OpenAlexaff
Hans Dobson, Julia Ekong, Patrick Kalas, Christian Grovermann, Hanneke Vermeulen, Patrick D’Aquino, Myra Wopereis-Pura

Bibliographic record

VenueAgritrop (Cirad) · 2019
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

ObjectivesNIFs have an initial common understanding of the concepts/terminology of AIS and innovation niche partnership.They will also appreciate the complexity of an issue (e.g.increasing productivity) and the reason why solutions require the involvement of different actors and the need sometimes to address related issues first before tackling the main one.They will understand the importance of effective interaction and learning across the innovation niche partnership CONTENT METHOD RESOURCES DURATION 12 CDAIS Capacity Needs Assessments SeSSion 2 Understanding agricultural innovation systems S2b.Understanding agricultural innovation systems Session Plan SP S2b Q Total duration: about 60 mins Objectives Develop a common understanding of the concept of AIS by NIFs CONTENT METHOD RESOURCES DURATION CDAIS Capacity Needs Assessments 13 SeSSion 3 Capacity development for agricultural innovation systems S3a.What is 'capacity' and what is 'capacity development'?Session Plan SP S3a Q Total duration: about 35 mins Objectives NIFs will be familiar with and have an initial understanding of the systemic concept of capacity development, the distinction between the three functional capacity-development dimensions, the difference between functional and technical capacities, and different 'modalities' to enhance functional capacities CONTENT METHOD RESOURCES DURATION Objectives Understand different functional capacities and their distinction from technical capacities CONTENT METHOD RESOURCES DURATION CDAIS Capacity Needs Assessments 15 S4a.About the CDAIS project Session Plan SP S4a Q Total duration: about 50 mins Objectives NIFs understand the CDAIS project and the context of their work so that they can explain it to stakeholders during innovation niche partnership visits CONTENT METHOD RESOURCES DURATION ObjectivesNIFs will be familiar with the general principles of the functional capacity needs assessment process, the different steps, link to the baseline to track results, expected products (e.g.capacity assessment report and action plan) and general approaches and tools used CONTENT METHOD RESOURCES DURATION CDAIS Capacity Needs Assessments 23 S6b.Asking the right questions Session Plan SP S6b Q Total duration: about 35 mins Objectives NIFs learn to involve multiple stakeholders in an initiative/process of innovation, they can get stakeholders ready to participate by asking them the right probing questions CONTENT METHOD RESOURCES DURATION CDAIS Capacity Needs Assessments 27 S6d.Identifying interests and negotiation for mutual gain Session Plan SP S6d Q Total duration: about 65 mins ObjectivesThe trainees understand ways to engage and involve actors in a multi-stakeholder process CONTENT METHOD RESOURCES TIMING

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.060
GPT teacher head0.269
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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