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Record W2627006475

Aboriginal Urban Design for Health

2017· article· en· W2627006475 on OpenAlexaboutno aff
Mpa Clark, Kirby Broadnax, Antionette Carroll, Jonathan Cha, Naomi Doerner, Allie Kast, Matthew Kennedy, Michael Méndez, Pascale C. Annoual, Carrie Martin, Wendall Nicholas

Bibliographic record

VenueThe Medicine Forum · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceEnvironmental planningGeography
DOInot available

Abstract

fetched live from OpenAlex

Montreal’s Aboriginal population is growing rapidly, yet the community lacks a culturally safe and holistic health service center that is accessible to all Aboriginal people. On Friday, June 2, 2017 The Montreal Urban Aboriginal Health Centre (MUAHC) joined forces with Next City & Concordia University to co-create a 7-minute pitch for a $7,000 prize through the Vangaurd Conference Big Idea Challenge. An interdisciplinary team of 8 conference attendees worked with MUAHC leadership to design a short-term solution that would be a step in the right direction towards MUAHC’s goal to build a fully functioning and independent health center dedicated to Montreal’s Aboriginal population. The Big Idea was to transform an existing room within a new hospital site into a Healing and Teaching Lodge, where Aboriginal patients and their family/friends could come together to focus on wellness. Ultimately, the judges received an anonymous donation after the six presentations, and the Lodge was awarded $2,000 to implement the project. PPT: https://docs.google.com/presentation/d/1CwzoQokFMR-MZYTyEbpjJtBvB903K6c995QOU6VD3I0/edit#slide=id.g1f67c01f4c_0_4

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.313
Threshold uncertainty score0.711

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0070.002
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2130.027

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 head0.032
GPT teacher head0.373
Teacher spread0.341 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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