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Record W4387370163 · doi:10.21606/iasdr.2023.748

A systems thinking approach to codesign at a Montessori School

2023· article· en· W4387370163 on OpenAlex
Anna Chekhman

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Methods and Practices
Canadian institutionsYork University
Fundersnot available
KeywordsLeverage (statistics)Systems thinkingPsychological interventionProcess managementProcess (computing)Knowledge managementComputer scienceSoft systems methodologyIntervention (counseling)Focus groupManagement sciencePsychologyEngineeringInformation systemSociologyManagement information systemsArtificial intelligence

Abstract

fetched live from OpenAlex

In this study, systems thinking and codesign principles are applied together to develop a process framework to identify leverage points for an intervention in a new Montessori school. We show how a series of codesign workshops with children, parents, teachers, and management generated insights into the importance of collaboratively codesigning with stakeholders while applying Soft Systems Methodology (SSM). This approach demonstrates the advantages of incorporating diverse perspectives and fostering group coaction. These findings add to the limited literature on the practical applications of process-focused SSM, as they have informed the development of a step-by-step plan for forthcoming data collection sessions at the school, which will be organized as a Summer Research Camp. The future Summer Research Camp project will focus on continuing to work with the stakeholders to codesign interventions in the system, by following the SSM cycle aimed at gaining an understanding of the systemic factors affecting the school.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.188
GPT teacher head0.449
Teacher spread0.261 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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