Collaboration in Visual Culture Learning Communities: Towards a Synergy of Individual and Collective Creative Practice
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.
Bibliographic record
Abstract
Abstract A visual culture learning community (VCLC) is an adolescent or young adult group engaged in expression and creation outside of formal institutions and without adult supervision. In the framework of an international, comparative research project executed between 2010 and 2014, members of a variety of eight self‐initiated visual culture groups ranging from manga and cosplay through contemporary art forms, fanart video, graffiti and cosplay in five urban areas (Amsterdam, Budapest, Chicago, Helsinki and Hong Kong) were studied through interview, participant observation and analysis of art works. In this article, collaborative group practices and processes in informal learning environments are presented through results of on‐site observations, interviews and analyses of creations. VCLCs are identified as inspiring, collaborative spaces of peer mentoring that enhance both visual skills and self‐esteem. Authors reveal how identity formation is interrelated with networking and knowledge sharing. Adolescents and young adults become participants of global communities of their creative genres through reinterpretation and individualisation of shared visual repertoires. In conclusion, implications for art education from the VCLC model for creative collaboration are suggested.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it