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Record W7029461386

It Takes a City : Installation for Place-Based Learning in Montreal

2024· dissertation· en· W7029461386 on OpenAlexaboutno aff

Bibliographic record

VenueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedAutonomyPlacemakingSituated learningUrban planningYard
DOInot available

Abstract

fetched live from OpenAlex

While environmental education programs have historically been conducted in both urban and rural contexts, today the stimulation and educational resources that can be found in urban settings outside school buildings are often overlooked. A city like Montreal offers a wealth of objects, peers, skill opportunities and informal educators, but they mostly remain isolated from schoolchildren by distance, the enclave nature of institutional schools, and cultural norms that remove autonomy from children as subjects unfit to traverse the “dangerous city” on their own. The project puts forth the neighborhood of Rosemont as the locus for an “exploding school” of the Streetwork framework, modelled by Colin Ward and Anthony Fyson. The proposed installation, making use of a recently vacated building in the underdeveloped East end of the busy Masson Street, is one shoot of an educational rhizome–a place chosen not to be a container for education, but conceived as a knot where a multiplicity of learning paths are bound together. Working as an access point to existing community networks like the citizen-organized ruelles vertes, and situated near the existing overflowing public schools, the project offers itself as a waystation for those on different educational journeys in, along, and beyond the city itself. They may learn from studying their environment that any built fabric is malleable, and not an immutable reality.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.321
Teacher spread0.302 · 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
Published2024
Admission routes1
Has abstractyes

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