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Bricks, Mortar, and Control: A Multicase Examination of the Public Library as Organization Space

2014· book-chapter· en· W2501152743 on OpenAlexaboutno aff
Matthew R Griffis

Bibliographic record

VenueAdvances in library administration and organization · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsMortarSpace (punctuation)Architectural engineeringControl (management)Public spaceEngineeringBusinessMaterials scienceComputer scienceComposite materialArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract This exploratory study, a Ph.D. dissertation completed at the University of Western Ontario in 2013, examines the materially embedded relations of power between library users and staff in public libraries and how building design regulates spatial behavior according to organizational objectives. It considers three public library buildings as organization spaces (Dale & Burrell, 2008) and determines the extent to which their spatial organizations reproduce the relations of power between the library and its public that originated with the modern public library building type ca. 1900. Adopting a multicase study design, I conducted site visits to three, purposefully selected public library buildings of similar size but various ages. Site visits included: blueprint analysis; organizational document analysis; in-depth, semi-structured interviews with library users and library staff; cognitive mapping exercises; observations; and photography. Despite newer approaches to designing public library buildings, the use of newer information technologies, and the emergence of newer paradigms of library service delivery (e.g., the user-centered model), findings strongly suggest that the library as an organization still relies on many of the same socio-spatial models of control as it did one century ago when public library design first became standardized. The three public libraries examined show spatial organizations that were designed primarily with the librarian, library materials, and library operations in mind far more than the library user or the user’s many needs. This not only calls into question the public library’s progressiveness over the last century but also hints at its ability to survive in the new century.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.008
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2014
Admission routes1
Has abstractyes

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