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The Grierson Testament, 1969–71

2016· book-chapter· en· W2792492373 on OpenAlexaboutno aff
Gary Lewis Evans

Bibliographic record

VenueEdinburgh University Press eBooks · 2016
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNew TestamentArtHistoryLiterature

Abstract

fetched live from OpenAlex

From 1969 to 1971, documentary film movement pioneer and founder John Grierson spent his sunset years at McGill University in Montreal, Canada. During that time, the Canadian Radio and Television Commission invited him to Ottawa to advise on the state of television policy and Canadian communications in general. Typically, Grierson cut a wide swathe through the subject, and provided a stimulating analysis of the state of Canada’s public institutions of television, film production, and realist filmmaking. Three volumes of transcripts of his audiotaped sessions stand as his final testament. Using this source, this chapter develops an overview of his position on the industry, on government-sponsored film, and on prospects for expanding realist images in what he acerbically called a developing world of consumerism and inane television. Typically, Grierson’s comments were filled with intelligence, experience, and acumen, while he also seemed to be wrestling with various contradictions and ideas derived from 19<sup>th</sup> century idealist philosophy. Perhaps Grierson was, as some have said, a curious combination of irreconcilable opposites. These transcripts reveal a visionary who had made things happen, whether as a bull in a china shop or as a fencer whose rapier intelligence demolished or convinced those with whom he engaged. With his death in 1972, this material stands as his last testament.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.846
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.036
GPT teacher head0.186
Teacher spread0.150 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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