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Record W3010543596

The Future Now: Canada's Libraries, Archives, and Public Memory

2014· article· en· W3010543596 on OpenAlexaboutno aff
Patricia Demers, Guylaine Beaudry, Pamela Bjornson, Michael Carroll, Carol Couture, Charlotte Gray, Judith Hare, Ernie Ingles, Eric Ketelaar, Gerald McMaster, Ken Roberts

Bibliographic record

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLibrary scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Our title boldly asserts that the future must be acknowledged. We are not assuming the role of prophets, but rather of alert communicators. The library and archive sector needs institutional reform to improve efficiencies, foster more effective collaboration, and provide clearer, more reliable leadership. The Report synthesizes what we have heard and learned from Canadians. It conveys verbal and visual snapshots of transformative, energetic, forceful cultural institutions, either already flourishing or in planning stages. It also underlines the urgency of the present moment when disregard or neglect must be challenged and countered. First and foremost, in the digital era, libraries and archives are as vital as ever to Canadian society, and they require additional resources to meet the wide variety of services they are expected to deliver. Equitable societies remove barriers between citizens and the material they need to enrich, inform, and improve their lives. Second, while librarians and archivists must work more concertedly in nation-wide partnerships to continue to preserve our print different levels of government must invest in digital infrastructure to advance these projects. Third, a national digitization program, in coordination with memory institutions across the country, must be planned and funded to bring Canada’s cultural and scientific heritage into the digital era to ensure that we continue to understand the past and document the present as guides to future action.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.010
GPT teacher head0.168
Teacher spread0.158 · 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.

Study designTheoretical or conceptual
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

Citations7
Published2014
Admission routes1
Has abstractyes

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