MétaCan
Menu
Back to cohort
Record W4255653039 · doi:10.32920/ryerson.14643696

The Greatest Good Place: The role of the public library in the development of successful cities, and the relationship between public library contributions and planning policy

2021· preprint· en· W4255653039 on OpenAlexaffabout
Jennifer Kluke

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsToronto Metropolitan UniversityQueen's University
FundersAustralian Government
KeywordsLibrary classificationPublic relationsPublic administrationPublic policySpace (punctuation)Political sciencePublic spaceBusinessLibrary scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

This paper explores the changing role of the public library, and determines its impacts on communities and cities. It also examines the relationship between libraries and planning policies, and the extend to which they inform the success of public libraries. The analysis centres on the design of modern public libraries, and the community and economic contributions they provide. Through analyses of the Vancouver Public Library, the Seattle Public Library, and the Toronto Public Library, it is evident that public libraries provide significant contributions within the communities they serve. Well-designed library buildings provide an important public space, and provide people with access to information and technology needed to participate in the knowledge economy, in turn producing significant economic gains for the city. This research finds that planning policy alone is unable to ensure the success of a city`s public library system. Support from the public and municipal leaders, combined with strong policy directives, is needed for a city`s public library system to succeed.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0000.001
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 head0.050
GPT teacher head0.305
Teacher spread0.254 · 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.

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

Explore more

Same topicLibrary Science and AdministrationFrench-language works237,207