MétaCan
Menu
Back to cohort
Record W7064931733

Create & Grow Strong:
\nUsing Creative Exploration, Expression & Celebration to Foster Resilience in Youth

2015· dissertation· en· W7064931733 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsGrounded theoryFeelingHopefulnessPsychological resilienceExpression (computer science)Work (physics)CreativityPoverty
DOInot available

Abstract

fetched live from OpenAlex

This research explored the idea that a creative project undertaken in a group setting could help youth to cultivate the traits that contribute to increased resilience elsewhere in life. This thesis was revised based on findings derived from praxis, reflective practice and grounded theory research. Create & Grow Strong, a six-week workshop program and showcase celebration, was developed with art and play therapy in mind, but without the goal of direct psychotherapeutic intervention. There was strong evidence that this was successful in fostering feelings of pride, confidence and hopefulness and in creating an environment of trust that allowed for group discussion about issues prevalent in the local community. The study was based in Toronto’s Regent Park - an area associated with crime and poverty that was undergoing a government-initiated revitalization. This thesis considers the inspiration for the research, the existing work both by theorists and practitioners working in the fields of social work, education, psychology and interaction design. Also the author’s own design process, both technologically and, as the author built the workshops, the results and the insights gained from a grounded theory approach. Finally, potential future iterations of the work are discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.000
Scholarly communication0.0010.004
Open science0.0020.000
Research integrity0.0010.001
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 head0.142
GPT teacher head0.395
Teacher spread0.254 · 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 designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueOCAD University Open Research Repository (OCAD University)Same topicInternational Relations and Foreign PolicyFrench-language works237,207