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Record W7048760784

More Small! Building Resilience and Neighbourliness in Vancouver’s Shared Spaces

2021· other· en· W7048760784 on OpenAlexaboutno aff

Bibliographic record

VenueLund University Publications Student Papers (Lund University) · 2021
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive reframingRestructuringRealmWork (physics)Bridge (graph theory)PhenomenonValue (mathematics)Resilience (materials science)Psychological resilience
DOInot available

Abstract

fetched live from OpenAlex

The Missing Middle describes a phenomenon and a movement to fill a gap in the housing choices offered in many North American cities. Although proponents of the movement state that Missing Middle forms can seamlessly replace single-family housing in existing neighbourhoods, a paradigm shift in Vancouver’s housing supply presents an opportunity to restructure its public spaces and services in tandem. This thesis work is not considered an alternative, but a complement to the Missing Middle movement, by realizing the unmet potential in our shared spaces. The proposal explores ways to bring brings the principles and values of multi-family housing to the public realm, improving inclusivity for a densifying and diversifying population. It creates value by making our existing spaces work harder, and by reframing the relationship between public and private space. The potential of this new type of public realm exists in its capacity to bring the community together in flexible, versatile spaces that bridge the individual and communal spheres.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.771
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.012
Scholarly communication0.0120.005
Open science0.0010.014
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.002

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 head0.239
Teacher spread0.229 · 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
Published2021
Admission routes1
Has abstractyes

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