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Record W4408224691 · doi:10.4337/9781035320547.00017

Assessing sharing of household goods: tool and toy sharing in Melbourne and Toronto

2025· book-chapter· en· W4408224691 on OpenAlexaboutno aff
Oksana Mont

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2025
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsnot available
Fundersnot available
KeywordsSharing economyBusinessRegional scienceGeographyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This chapter, authored by Oksana Mont, explores the sharing of idle household goods through tool and toy libraries, contrasting them with traditional book libraries funded by local governments. Unlike book libraries, tool and toy libraries face challenges in developing sustainable business models while maintaining community-focused values. Drawing from the "Urban Sharing: Sustainability and Institutional Pathways" project, the chapter examines cases in Toronto and Melbourne, reviewing the literature on household goods sharing and its societal and environmental impacts. It discusses operational tactics, sustainability implications, and city governance's role in supporting these initiatives. Featured case studies include the Toronto Tool Library and Melbourne's Brunswick Tool Library, along with several toy libraries in Melbourne. These examples highlight their operational strategies, challenges and collaboration with community actors under city governance. The chapter emphasises supportive mechanisms like enabling regulations and local authority provisions to enhance the visibility, viability and impact of sharing organisations, offering insights into their potential for sustainability and fostering sustainable urban environments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.680
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0060.008
Open science0.0010.002
Research integrity0.0010.001
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 head0.038
GPT teacher head0.233
Teacher spread0.195 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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