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Record W7064777790

Community and Academic Research Partnerships: Challenges and Opportunities

2019· article· en· W7064777790 on OpenAlexaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipPresentation (obstetrics)Mental healthQualitative researchPrincipal (computer security)AccreditationQualitative propertyProgram evaluationCommunity-based participatory researchParticipatory action research
DOInot available

Abstract

fetched live from OpenAlex

This presentation will report and reflect on a two year qualitative study that involved a partnership between the Child Development Institute (CDI), an accredited children’s mental health centre and Humber College, both located in Toronto, Ontario. The study considered the experiences of women who have recently participated in the Mothers in Mind (MIM) program to begin to understand what impact their participation in MIM has had on their parenting after trauma, their relationship with their child, their self-esteem and social isolation. While pre/post tests and other quantitative measures were in place to study the MIM program, facilitators noticed that participants had many detailed and specific accounts on how MIM made a difference in their lives that were not well captured in the quantitative data. In-depth qualitative interviews were conducted with facilitators and participants by both the Principal Investigator and four postgraduate students. In this manner the study also served as a teaching opportunity. This presentation will include the methodology of this study as well as a brief review of findings, with special consideration given to the opportunities and challenges found in community/academic research partnerships and incorporating students in the process.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.546

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 integrity0.0000.001
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 head0.346
GPT teacher head0.320
Teacher spread0.027 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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