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Record W2767106106

Little Free Libraries®: Interrogating the impact of the branded book exchange

2017· article· en· W2767106106 on OpenAlex

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.

Bibliographic record

VenueE-LIS Repository (University of Naples Federico II) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCorporatizationConstructivePoliticsSociologyMedia studiesNarrativeEnthusiasmLiteracyPublic relationsPolitical scienceLawPedagogyArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

In this article, we critique the phenomenon of Little Free Libraries® (LFL®), the non-profit organization dedicated to sharing books with one’s neighbours. Through our engagement with the discourses, narratives and geographies of the LFL® movement, we argue that the organization represents the corporatization of literary philanthropy, and is an active participant in the civic crowdfunding activities of the non-profit industrial complex. The visible positioning of these book exchanges, particularly on private property in gentrified urban landscapes, offers a materialization of these neoliberal politics at street level. Drawing primarily upon one of the author’s experiences as an LFL® steward, as well as critical discourse and GIS analysis, we offer constructive critiques of the organization and their mission, and suggest that the principles of community-led library practice can be more effectively employed to harness the enthusiasm of these self-described “literacy warriors.”

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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