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Record W1955144600

Cover to Cover: The Evolution of Western Canadian Album Cover Art and August Soehn: Forty Years of Television Art

2001· article· en· W1955144600 on OpenAlexvenueaboutno aff

Bibliographic record

VenueArchivaria · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsCover (algebra)ArtArt historyGeographyVisual artsEngineering
DOInot available

Abstract

fetched live from OpenAlex

assisted by Registrar Gerry Osmond, take the visitor back to another era of music history.Silversides and Osmond reveal the history of album cover design in Western Canada, by illustrating how record producers tried to stimulate emotions and create reactions in their potential customers through album cover design.The exhibition includes eighty-four album covers from the earliest records of prominent recording artists from the region from 1958 to 1990, arranged in general chronological order.The array of album covers reveals who the current stars were and who the future stars would be, and provides a good sense of popular taste in Western Canada during this time.We learn what hair and clothing styles were in vogue with listeners, what trends in the visual arts were capturing imaginations, and what moods the albums elicited when played.For a period of nearly forty years in the late twentieth century, the standard medium of recorded music throughout the world was the vinyl phonograph record, in either 45 or 33 & 1/3 RPM format.As distinguished from the earlier 78 RPM plastic disc, the vinyl record was compact, durable, and, in the case of the 12" LP, it allowed for longer playing time.For devotees of classical music or opera, full performances could now be heard with minimal interruption.Listeners to the various forms of popular music were also better served, as ten or twelve songs by their favourite performers could now be included on one record.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.999

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.226
Teacher spread0.210 · 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
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
Published2001
Admission routes2
Has abstractyes

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