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Record W4402559659 · doi:10.35843/enwgcbpe24

Evaluation of the new wave Gippsland capacity building project: evaluation 2023-2024

2024· report· en· W4402559659 on OpenAlexfundno aff
Joanne E. Porter, Sambath My, Megan Simic, Nicole Coombs, Elizabeth Miller, Daria Soldatenko, Luis Hualda

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Funded by the Australian Government National Disability Insurance Agency (NDIA) Information, Linkages and Capacity Building (ILC) grant, the New Wave Gippsland Capacity Building Project aimed to build capacity and develop skills, knowledge, and abilities of people with an intellectual disability, acquired brain injury (ABI) or complex communication in the Gippsland region. The key element of this project was the engagement, training, and support of Peer Educators in developing and delivering the Sexual Lives & Respectful Relationships (SL&RR) program and network in Gippsland. It also aimed to engage with community professionals from the sexual assault, community development and advocacy sectors to participate in violence and abuse prevention and respectful relationships education, training, and community work. SL&RR is an ecological model of violence and abuse prevention that has people with an intellectual disability at the centre. It utilises a community development approach that works from the individual out to society and systems that impact the experiences of safety and well-being in relationships and communities. The model has been co-developed by people with intellectual disabilities and is co-facilitated by people with intellectual disabilities in partnership with community professionals in the sexual assault sector. The SL&RR model provided the opportunity for GCASA to engage in dialogue with people with an intellectual disability, ABI, or complex communication, who are impacted significantly by sexual violence to contribute to the knowledge of people with intellectual disabilities around their rights to relationships which are free from violence. To coordinate the SL&RR program and support New Wave Gippsland (NWG), a Project Coordinator and a Program Developer were appointed. To deliver the program, employment opportunities for self-advocates to deliver education and build community capacity in relation to disability awareness were provided. The program aimed to undertake the following activities: • Build the capacity of the Gippsland SL&RR network to engage with people with an intellectual disability, ABI, LGBTIQA+ people with disability, community health and sexual assault professionals and services across a wider scope in Gippsland. • Deliver the SL&RR program including the new ABI and LGBTIQ+ programs, in Central and East Gippsland • Promote the Gippsland SL&RR network through free information / professional development sessions for the health, community, and disability sectors. Conduct sessions and engage Peer Educators as co-presenters. • Increase social and economic participation by Peer Educators/self-advocates employed through NWG and include paid work for up to 12 Peer Educators. Project Coordinators, counsellors and Peer Educators provided a robust team to support the SL&RR network and implementation of the model across Gippsland.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.123
metaresearch head score (Gemma)0.115
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.123
Threshold uncertainty score0.652

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1230.115
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0060.005
Open science0.0040.009
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0230.004

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 head0.110
GPT teacher head0.315
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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