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A Multidisciplinary Place-Specific Art Course Outline for the CEGEP Level

2014· dissertation· fr· W4159534 on OpenAlexaboutno aff
Amelie Brindamour

Bibliographic record

VenueArchives Internationales de Physiologie et de Biochimie · 2014
Typedissertation
Languagefr
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSyllabusDocumentationExplicationThe artsVisual artsAdaptation (eye)Session (web analytics)Experiential learningMultidisciplinary approachVisual arts educationArtMathematics educationPsychologyComputer scienceSociologyWorld Wide Web

Abstract

fetched live from OpenAlex

This thesis takes a close look at art practices investigating the physical, experiential and social dimension of place, and at how these art forms could be better integrated in the CEGEP Visual Arts program in Quebec. It consists of a research-creation project involving a heuristic study, which resulted in the design of a place-specific course outline for this teaching-level. The following research question guided my investigation “how can an enhanced understanding and explication of my endeavor in creating a place-specific body of work contribute to the design of a place-oriented art course outline for young adult learners?” I first assessed different kinds of artistic approaches by conceiving four projects inspired by my explorations of Park Jarry in Montreal, which culminated in a more ambitious body of work. The analysis of the documentation gathered during this process established a correlation between the art-making session, an enhanced connection to the place, as well as an improved pedagogical understanding of this art form. This manifested itself in the adaptation of the artworks into four assignments. The first project aims for students to become more familiar with the given area through an exploration, documentation and research exercise. It is followed by an activity based on the movement of process art. The third activity proposes to explore the techniques of pinhole cameras and cyanotype. Finally, the final project encourages students to investigate more in depth an element of the place. The thesis text includes photographic documentation of the artworks and a full-fleshed syllabus.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.058
GPT teacher head0.326
Teacher spread0.268 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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