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Record W7074012988

Breaking the line : integrating poetry, polyphony, & planning practice

2009· article· en· W7074012988 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaTSG101DiafiltrationPretextProteogenomicsDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

Languages currently used by planners to conceptualize, document, and present projects lack expansive imagination and polyphonic literacy. Planning demands new languages to address social and environmental challenges within our increasingly cross-cultural urban environments. Although storytelling theory in planning has expanded contemporary understanding of what constitutes method and practice within the discipline of planning, there has been little work to date explicating what poetry offers to planning education and practice. \n\nThis thesis examines several opportunities and challenges in adopting poetry into contemporary practice in Vancouver, British Columbia using a multi-method approach. Methods include: a literature review on planning projects collaborating with artists; an ethnomethodological analysis of interviews with four Vancouver poets; a constructionist analysis of a planning text and a re/formation experiment with poetry; and finally, autoethnographic 'poetry as inquiry'. Learnings suggest that a critical approach to poetry offers an alternative language to connect to both 'self as planner' and to the multitude of overlapping voices of 'publics' in process, document, and presentation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.619

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)0.0000.000

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 head0.017
GPT teacher head0.205
Teacher spread0.188 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2009
Admission routes1
Has abstractyes

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