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Forget to clean up when you're done.

2019· article· en· W4235661833 on OpenAlexaboutno aff
Milena Radzikowska, Stan Ruecker, Jennifer Roberts-Smith

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)Software deploymentMateriality (auditing)Embodied cognitionSpace (punctuation)Argument (complex analysis)Computer scienceSession (web analytics)Mathematics educationPedagogyPsychologySociologyAestheticsArtificial intelligence

Abstract

fetched live from OpenAlex

In most university settings the rooms are scheduled centrally in such a way that even moving tables and chair configurations can prove problematic. Because different faculty use the space for different purposes, common courtesy and institutional exigency both dictate that classrooms should be reset to neutral at the end of each session. However, from the perspective of design pedagogy this otherwise beneficial practice becomes problematic. For design students there is a strong benefit in the material culture of the design space being intrinsically modelled in the classroom. We therefore offer an alternative argument to the conventional deployment of classroom space, based on three case studies from institutions in the USA and Canada where the opportunity has existed for various forms of material permanence in the classroom setting. The benefits to the students of leveraging materiality and material persistence in the classroom include: • pedagogical benefits—having ready-to-hand reminders of core principles that are represented by objects; • efficiency—classroom conditions of material persistence allow students to pick up from where they left off without wasting time at the beginning of each class in re-establishing their presence in the work; • opportunities for mental reset—transitional spaces from the generic to the creative can remind students that they are entering a different kind of pedagogical environment; and • more accurate discipline representation—the ability to be immersed in works in progress rather than completed items on display. Finally, and perhaps most importantly, embodied classroom environments support students more holistically by remembering that makers have brains and bodies that need physical, psychological, and emotional nourishment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.734
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.005

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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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