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Record W4321480065 · doi:10.1111/tesg.12548

Borrowing Spaces: The Geographies of ‘Libraries of Things’ in the Canadian Sharing Economy

2023· article· en· W4321480065 on OpenAlex
Nicholas Lynch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTijdschrift voor Economische en Sociale Geografie · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsMemorial University of Newfoundland
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSharing economyNegotiationSpace (punctuation)SustainabilityBusinessSocial capitalPoliticsProfit (economics)Knowledge managementSociologyEconomicsComputer sciencePolitical scienceSocial scienceWorld Wide WebNeoclassical economics

Abstract

fetched live from OpenAlex

Abstract Over the last decade, the sharing economy has resulted in numerous innovative sharing and borrowing practices, many of which have the potential to radically transform communities and societies. One such innovation is the Library of Things (LoT), a non‐profit sharing space modelled on traditional library systems, which enables users to borrow a diverse range of equipment, tools and goods. This paper contributes to the emerging literature and research on the non‐profit sharing economy and the role of LoTs as sharing spaces. Drawing on in‐depth interviews with LoT founders and managers, three main socio‐spatial themes are discussed in the development of Canadian LoTs: sharing cultures, sharing capital and sharing politics. Overall, this work highlights that the success and sustainability of these sharing spaces hinge on the negotiation of these complex social and spatial dynamics, ranging from their capacity to build spaces of collaboration, experimentation and community.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.211
Teacher spread0.190 · 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