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Record W1962435842

"God keep our land glorious and free:" Metaphors for God, death, and "heavenly things" in some English languageCanadian folk songs

2013· article· en· W1962435842 on OpenAlexaffabout
Sheila MacKenzie Brown

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsOkanagan University CollegeOkanagan College
Fundersnot available
KeywordsLiteratureArtPhilosophyAestheticsHistory
DOInot available

Abstract

fetched live from OpenAlex

God keep our land, glorious and free" is the request made each time Canadians sing their national anthem.The Ode to Newfoundland offers up the prayer "God guard thee, God guard thee, God guard thee Newfoundland" (Mills and Peacock, 1958, p. 50).These are both blatantly open calls to God for protection within our country of Canada.In my research I have been looking at folk songs to see if our song literature has always been so open about God (and death and heavenly things), and how, if not, these topics have been addressed.The research took me mostly to songs from Newfoundland, Nova Scotia, Ontario, Alberta, and British Columbia, and I discovered an interesting mixture of blatant and metaphorical references to God, death, and heaven.By far the greatest number of songs making any type of reference to these topics come from the sea-faring tradition of the Atlantic coast -presumably because death is an ever present danger in the fishing and sailing industries.The next largest group of songs containing these types of references belongs to the cowboy genre.I can only surmise that this is either because of the inherent dangers of rounding up cattle and riding the range, or because of the long hours cowboys spend on their own, with time to contemplate death, God, and the possibility of a life hereafter.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.014
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.199
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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland)Same topicFolklore, Mythology, and Literature StudiesFrench-language works237,207