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Record W7132972739

Work and Worth: A Contested History of Labour and Value in Toronto’s Public Libraries

2020· dissertation· W7132972739 on OpenAlexaboutno aff
Lia Frederiksen

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)Value (mathematics)Work (physics)Corporate governanceDemocracyUnpaid workPublic valueReproduction
DOInot available

Abstract

fetched live from OpenAlex

Public libraries are often thought of as inherently democratic institutions where the provision of informational resources supports social inclusion and civic participation. Inspired by a recent citywide conflict over potential library closures in Toronto, Canada, this dissertation investigates a more contested history than conventional interpretations have often permitted by revealing a series of conflicts over public library buildings, budgets, and governance across more than a century. The main argument is that understanding this history requires an account of the overall work done to make and remake these spaces into what they are today, as a way of understanding of what these spaces may soon become. This argument illustrates how the perceived worth of providing public library service, whether or not it is accounted for in monetary terms, can be seen as socially constructed and politically contested. To make this argument, I draw mainly from feminist theorizations of work, which broaden this category to encompass productive waged labour along with paid and unpaid reproductive labour coded as ‘nonwork’ or ‘unproductive’, and geographers’ insights on the contested social production of space. In so doing, this dissertation aims for a critical re-thinking of what these spaces mean for daily urban life.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0300.084
Scholarly communication0.0190.007
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.043
GPT teacher head0.315
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

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