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Record W2991732774

The Roots of Community: A Local Librarian's Resource for Discovering, Documenting and Sharing the History of Library Services to African Americans in Their Communities

2019· article· en· W2991732774 on OpenAlexfundno aff
Matthew R Griffis

Bibliographic record

VenueAquila Digital Community (University of Southern Mississippi) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaAssociation for Library and Information Science EducationInstitute of Museum and Library Services
KeywordsResource (disambiguation)Shared resourceWorld Wide WebLibrary scienceKnowledge managementComputer science
DOInot available

Abstract

fetched live from OpenAlex

Intended for current library professionals, this toolkit provides a theoretical basis for completing public history projects about libraries and explores specific project types, selected best practices and related resources. It divides into three major sections: Part 1, “Planning,” Part 2 “Gathering” and Part 3, “Sharing.” Respectively, these sections cover the preparation, collection and communication tasks of research projects and, where appropriate, offer readers several types of potentially useful resources. Many of these resources—forms, letters, standards, examples of evidence—were used for the author’s Roots of Community project and appear as examples of resources deemed suitable for that project. In other instances, the booklet cites examples of other but similar projects. The project types explored are generally inexpensive, produce (in most cases) permanent deliverables, and can be completed at any pace and/or attempted by public libraries of nearly any size. Libraries may attempt projects on their own or in partnership with local museums, archives or historical societies.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0020.001
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 head0.027
GPT teacher head0.223
Teacher spread0.195 · 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 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
Published2019
Admission routes1
Has abstractyes

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