MétaCan
Menu
Back to cohort
Record W1541650458 · doi:10.5860/choice.38-2060

John Grierson: life, contributions, influence

2000· article· en· W1541650458 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFilm directorEmpireSubject (documents)HistoryMedia studiesMovie theaterArt historySociologyLawPolitical science

Abstract

fetched live from OpenAlex

More than any other person, Jack C. Ellis notes, John Grierson, a Scot, was responsible for the film as it has developed in English-speaking countries. While in the United States in the 1920s, Grierson first applied the term documentary to Robert Flaherty's Moana. In 1927, Grierson returned to Britain, where he was hired to promote the marketing of products of the British Empire. The first practical application of Grierson's theory of film was Drifters, a 1929 short feature about herring fishing in the North Sea. That success led Grierson to establish the Empire Marketing Board Film Unit (later the General Post Office Film Unit). In 1939, Grierson moved to Canada, leaving behind a legacy of some 60 British filmmakers who spread his ideas and techniques to other countries. In Canada, he progressed beyond national concerns to global problems. The National Film Board of Canada stands as the largest and most impressive monument to Grierson's concepts and actions in regard to the use of film by governments in communicating with citizens. Ellis examines Grierson's accomplishments in detail, probing the complexities of Grierson's motivations and personality. His subject, a true titan in the world of film, was the first filmmaker to use public and private institutional sponsorship - not the box office - to pay for his films. He also employed nontraditional distribution techniques, going outside the movie theatres to reach audiences in schools and fatories, union halls, and church basements. Essentially, Grierson created film and established an audience for it.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0160.008
Scholarly communication0.0140.006
Open science0.0010.008
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0280.013

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 head0.039
GPT teacher head0.286
Teacher spread0.248 · 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 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

Citations15
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueChoice Reviews OnlineSame topicCinema and Media StudiesFrench-language works237,207