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Record W4205417993 · doi:10.32920/ryerson.14657841

Top Marks for Quality Parks

2021· preprint· en· W4205417993 on OpenAlexaffabout
Jennifer Roth

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsMcMaster UniversityToronto Metropolitan University
Fundersnot available
KeywordsPlan (archaeology)Quality (philosophy)Public parkScale (ratio)Environmental planningGeographyUrban parkEnvironmental resource managementBusinessCartographyArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

As the City of Toronto and the Greater Golden Horseshoe continue to become more densely populated resulting from the Provincial Growth Plan, increased stresses on existing parks spaces will occur due to overuse. The focus of this research is to evaluate Toronto’s effectiveness in maintaining quality park spaces according to the Park’s Plan (2013-2017) in the City through the trial of a Park Report Card that focuses on basic amenities in parks in the densest wards. The methodology was adapted from New York City’s Park Report Card which involved the definition of basic amenities and a scoring scale for their functionality. The observed parks did not meet quality park standards according to the Parks Plan and a series of recommendations to improve the level of quality were provided.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.143
Threshold uncertainty score0.477

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1430.019

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 head0.047
GPT teacher head0.334
Teacher spread0.287 · 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 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
Published2021
Admission routes2
Has abstractyes

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