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Record W6986894435

(Re)thinking public school architecture as a pedagogical tool

2021· dissertation· en· W6986894435 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureContext (archaeology)Process (computing)PoliticsSchool educationEducational research
DOInot available

Abstract

fetched live from OpenAlex

This thesis aims to rethink elementary public-school architecture by exploring its
\nability to become an influential aspect of the pedagogical process in schools. As
\neducational paradigms have historically responded to social, political, and cultural
\nconditions, it appears that the development of educational paradigms has moved
\nfaster than the educational buildings of the 21st century. Paradoxically, the spatial
\nconditions of educational architecture seem to be stuck in the 19th century.
\nAlthough there are notable school buildings that emerged from the 20th and
\n21st century that challenge a conventional school model, the existence of a gap
\nbetween school architecture and pedagogical paradigms is predominant in the North
\nAmerican context.
\nBeginning with an investigation of the current spatial conditions of educational
\narchitecture, specifically in North America, this thesis analyzes the relationship
\nbetween school buildings and pedagogical paradigms that draw upon the history
\nof education and its built institutions. As well, it examines the factors that prevent
\nsuch correlation. Relevant building typologies were studied through orthographic
\ndrawings to create a visual comparison of school buildings from the 19th century
\nto today. This allows us to observe the major spatial transformations that occurred
\nbetween school models over time. Additionally, the analysis addresses how the
\nsocial, economic, and political factors influence the relationship between the design
\nof learning environments and the shift in educational paradigms, uncovering the
\nprinciples of school designs and identifying clear discontinuities between the built
\nforms and educational models. Undoubtedly, most of the contemporary educational
\nbuildings present in the North American context manifest spatial traditions that bear
\nfew relations to the current knowledge of the learning processes.
\nConsidering the significant role of the learning environment in the support of critical
\nthinking, discovery, and creativity, this thesis explores this potential to overcome
\ncentury-old traditions of learning through memorization and subservience to the
\nauthority of the teacher. We use the context of Markham, Ontario, in the Greater
\nToronto Area, to create an elementary school based on the principles seen in
\nMontessori’s, Reggio Emilia Schools, and Lab Ecole projects, which respond to the
\nbasis of the most actual theories of children education. The designs we see today
\nof newly constructed school buildings within the suburban context tend to be
\nan afterthought, prioritizing budget, and fast construction rates with little to no
\nconsideration to how the built environment can aid in the learning process. As a
\nresult, the suburbs provide an ideal setting to explore how the physical environment
\ncan aid in the learning process. Ultimately, using architecture as a pedagogical
\ntool that prompts the physical environment to inspire, stimulate, and encourage
\nexploration and investigation of new ideas while supporting collaboration and the
\ndevelopment of connections beyond the typical school environment.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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
Published2021
Admission routes1
Has abstractyes

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