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Record W2906213340

Creating space for diverse design culture in first year studio

2018· article· en· W2906213340 on OpenAlexaff
Maya Desai, Angelika Seeschaaf Veres, Nancy E. Snow

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsStudioDiversity (politics)Context (archaeology)Cultural diversityPedagogyDesign studioSpace (punctuation)SociologyHigher educationPsychologyVisual artsGeographyAnthropologyPolitical scienceArtComputer science
DOInot available

Abstract

fetched live from OpenAlex

At the onset of the pilot study, the authors collected a small sample of data on current teaching and learning practices at OCAD University with a focus on 'cultural diversity' within the studio classroom. The intent was to investigate the current state of 'cultural diversity' in studio practice seen from two perspectives: faculty and students. The first part of the study asked the question “What are the current efforts on the part of faculty and what, if any, are the design-specific-pedagogical approaches they use that relate to ‘cultural diversity’?” See the conference proceedings from NCBDS 2017 [http://ncbds.la-ab.com/33_Proceedings.pdf]. While faculty interviews uncovered predominant themes and levels of faculty engagement in relation to 'cultural diversity', the question arose as to whether or not students’ expectations and experiences aligned in similar ways. Therefore, this paper seeks to address the question, "What are student experiences and expectations in context to ‘cultural diversity’ with respect to their studio-based learning in first-year-design education?"

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.928
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.148
GPT teacher head0.318
Teacher spread0.170 · 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
Published2018
Admission routes1
Has abstractyes

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