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Record W2790543243 · doi:10.1080/17583489.2017.1372915

Utilizing This New Medium of Mass Communication: The Regional Film Distribution Programme at the Cleveland Public Library, 1948–1951

2017· article· en· W2790543243 on OpenAlexaboutno aff
Suzanne M. Stauffer

Bibliographic record

VenueLibrary & Information History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsReelCorporationLibrary scienceQuarter (Canadian coin)Library classificationHistoryMedia studiesSociologyManagementPolitical scienceVisual artsArchaeologyArtLawComputer science

Abstract

fetched live from OpenAlex

In 1948, the Carnegie Corporation made grants of $25,000 to the Cleveland Public Library and $15,000 to the Missouri State Library to set up three-year regional educational film distribution programmes in northern Ohio and in Missouri of 16 mm reel-to-reel motion picture films. In Cleveland, films were distributed within a consortium of ten library systems in the region; twenty library systems participated in Missouri. These successful programmes served as models for other library systems and lasted well into the last quarter of the twentieth century, when 16 mm reel-to-reel motion picture films in libraries were replaced with videocassettes and later DVDs and the programmes were no longer necessary. This paper explores the antecedents of the programme at the Cleveland Public Library as well as the careers of the two women, Patricia Blair and Virginia Beard, who were responsible for the design of the programme and for its success. Both became nationally recognized experts on the use of 16 mm films in public libraries and rose to national prominence in the American Library Association.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.007
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.076
GPT teacher head0.267
Teacher spread0.191 · 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.

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

Citations14
Published2017
Admission routes1
Has abstractyes

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