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Record W7000781218

Gopher Guts and Army Trucks: The Modern Evolution of Children's Folk Rhymes

2018· article· en· W7000781218 on OpenAlexaboutno aff

Bibliographic record

VenueIndiana Magazine of History (Indiana University) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreGloryRhymeKey (lock)Folk song
DOInot available

Abstract

fetched live from OpenAlex

The objective of this paper is to show that while the basic forms of North American children's folk rhymes have remained the same throughout the century the content has been continually altering, revealing children's awareness of changing cultural and societal mores, and that therefore the rhymes represent a vital and living aspect of folklore.This paper is an offshoot of fieldwork done from 1992 to 1994 in the United States and Canada during the preparation of a book, Greasy Grimey Gopher Guts: The Subversive Folklore of Children, co-written with T.K.F.Weisskopf and published by August House in 1995.The majority of informants were children between the ages of five and sixteen, though adult contributions were also solicited to show how the rhymes have altered over the years. 1 The method of collecting involved giving informants such key phrases as "Great green gobs of greasy grimy gopher guts," which generally quickly triggered folk rhyme responses.Some rhymes were collected in schools or libraries, others were solicited over the Internet; the latter process let us reach otherwise unreachable informants in Alaska and Hawaii.Certain rhymes, including "The Hearse Song," also known as "The Worms Crawl In, the Worms Crawl Out," and "Glory, Glory Hallelujah/Teacher Hit Me With a Ruler," were known by all informants and date to at least the beginning of this century.Variations have, of course, emerged over the generations as rhymes are heard, misheard or misremembered, then passed on to other children, who do their own mishearings and misrememberings.As the rhymes were collected, one not unexpected fact about these variations emerged.As is true of more formal teaching tales, the folk rhymes, in addition to being entertaining, help children deal with an increasingly volatile world.Therefore, the more modern the alteration to the rhyme, the more graphic the violent content of the rhyme becomes or the more vivid the sexual imagery.Granted, such alterations are not necessarily a recent process, and a certain amount of national mindset does seem to come into play, a case in point being the World War II era children's rhyme based on the song, "Whistle While You Work," from the 1937 Disney movie,

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 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 score0.786
Threshold uncertainty score0.998

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 studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.176
Teacher spread0.165 · 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.

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
Published2018
Admission routes1
Has abstractyes

Explore more

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