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Record W2527249751

Building a Parc de la langue française / Retracing my steps as a designer

2016· dissertation· en· W2527249751 on OpenAlexaboutno aff
Louis-Charles Lasnier

Bibliographic record

VenueUWSpace (University of Waterloo) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsJ-PARCHumanitiesComputer sciencePolitical scienceArtEngineeringCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

In 1979, Québec artist Rober Racine wrote a 190-word text that would describe his idea for Le Parc de la langue française, a landscape where one could literally meander through the French language. Although some partial iterations of this project have been presented over the years, the complete Parc has not been built. Yet. This thesis is my take on Rober Racine’s Le Parc de la langue française. In doing so, I found myself observing the design process itself, the making of a design project as well as my making as a designer. \n\tThis thesis has many questions. Where could you build it so it would be, as Racine envisioned, ‘permanent’? Emblematic Mount-Royal Park was the first answer. Then how to unfold Racine’s 190-word concertina vision into a 2,14 million m2 park? How to intertwine the 60,000 words of Le Petit Robert dictionary into that landscape and create a space to celebrate the French language while providing freedom for slowness, contemplation and absorption? How to create the depth, layers, spaces and media through which the visitor could dialogue with the language, Olmsted’s park, the forest and the city? In building a project, I, as a designer, ask myself a plethora of questions. Layering the questions, one atop the other, is my design process. My proposition for Le Parc de la langue française is therefore multilayered: beacons within the landscape; a map one could keep and follow while in the park; a circular glass pavilion, 75 m in diameter where one could sit and read the full 292 m of a table on which the 60,000 words from Le Petit Robert are printed. \n\tThis thesis also reflects on what builds a community around a project, how this community becomes involved in it, adopts it, builds it and nurtures it through time. In the hopes of engaging such a community, this thesis has become an exhibition. \n\tWhile writing my thesis, I reflected on how a design project is made and, beyond the project, how a designer is built. Examining the different layers of my persona – graphic designer, architect and now professor at UQAM – I explored the palimpsest that I am through the influences my teachers, mentors, friends and colleagues have had on me. Both cathartic and optimistic, this essay is testimony to what it means to be a designer and what it means to build designers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.296
Threshold uncertainty score0.588

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0170.014
Scholarly communication0.0120.006
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0120.004

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 head0.011
GPT teacher head0.275
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

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