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Record W7162010877 · doi:10.82308/1706

The bias of libraries: Montréal's Grande Bibliothèque

2014· dissertation· en· W7162010877 on OpenAlexaboutno aff
Paulina Maria Mickiewicz

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningEmerging technologiesReproductionScale (ratio)DemocracyDigital mediaDisseminationNew mediaCultural bias

Abstract

fetched live from OpenAlex

This dissertation is centered on the Grande Bibliothèque (GB) which opened in Montreal in the spring of 2005, and was a library project of unprecedented scale in the city. The Grande Bibliothèque project unfolded during a significant moment in the cultural history of Québec, in which contemporary technological changes were, and are still, exerting transformative pressures on traditional models of the library. These same technologies have come to play an increasingly important role in the formation, circulation and reproduction of cultural practices and identities more broadly. As a case study, the GB is an instance of the many trends that are currently shaping libraries, including their changing historical narratives, their innovative architectural designs, their adjustment to new and emerging media technologies and the implications of the changing meanings of the book and reading. The aim of this research has been to consider the role that the library plays as a communications medium and cultural technology in a period when emerging digital and network media are destabilizing traditional notions of libraries and their role as democratic, public institutions. In other words, this dissertation considers how broader understandings of the library, which is treated as a medium of communication in its own right, have shifted dramatically over the last several decades. The 21st century library can be seen as an emerging medium that seeks to not only preserve and disseminate collective memory and culture, but also to provide access to spaces and networks of knowledge, culture and interaction that together renovate the library's traditional role as a democratic institution. The library has become a central nervous system for new and emergent media technologies, a space that centralizes increasingly decentralized networks and systems, and a place in which new and emergent media technologies have not only found a home, a place where they can be contained, but a space in which the encounter between citizens and public knowledge and culture is staged.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.029
GPT teacher head0.294
Teacher spread0.264 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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