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Record W273227169

The Maritime "Folksongs" of Edward Harrigan

2013· article· en· W273227169 on OpenAlexaboutno aff
Dan Milner

Bibliographic record

VenueNew York folklore · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsBattleYardIrishHistoryHEROArt historyArchaeologyAncient historyArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

Edward Green Harrigan was born October 26, 1844, in the Corlear's Hook section of Manhattan. His father was a native of Carbonear, Newfoundland, a former first mate on the New York--Liverpool packet ship run; his paternal grandfather was a fisherman in County Cork, Ireland. His mother's line was likewise well connected to the sea. Harrigan's maternal grandfather was a gunner, fatally wounded aboard the Chesapeake in her celebrated 1813 battle with the Shannon, and his grandmother ran a boardinghouse for sailors. Corlear's Hook was a largely Irish neighborhood, home to New York's shipbuilding industry during much of the 19th century. Harrigan's father worked in the yards at Corlear's Hook, and found his son a job there as a caulker. Working long hours, tediously pounding tarry hemp between the planks of leaky ships, Ned Harrigan labored for four years, but he wanted more ... a life on the stage. Ned took to the sea as a teenager, first to Gulf Coast ports, later to California, where he found work as a caulker in San Francisco Bay shipyards by day, moonlighting as a singer, accompanying himself with the banjo. Eventually, and with strong support from many maritime trades workers there, he became a full-time entertainer. Back in New York as a well-established performer, Harrigan began to stretch vaudeville skits into full-length plays. They were anything but static pieces. He refined, added to, and reintroduced them frequently. When he expanded a skit, Old Lavender's Water, to make a one-hour play and it didn't achieve the success he had envisioned, Harrigan lengthened the comedy again in 1885, adding, among other elements, Up, Jack, John, Sit Down. The play was one of his finest, and Up, Jack, John Sit Down remains one of his most successful songs--but only a handful of the many people who sing it today know its origin. Oh, ships will come and ships will go as long as waves do roll; Each sailor lad, like his dad, will love the flowing bowl. Afloat, ashore they do adore a lass that's plump an roun'; When the money's gone 'tis the same old song, Get up, Jack, John, sit down. Heigh laddie, ho laddie. Swing the capstan roun) When the money's gone 'tis the same old song, get up, Jack, John sit down. An old sheathknife and souwester are staunch old friends at night; A glass o' grog in rain or fog, will steer a sailor right. From old Brasil to Bunker Hill we scatter dollars roun'; When the money's gone 'tis the same old song, Get up, Jack, John, sit down. Go take a cruise on men o' war to China or Japan; In Asia there the maidens fair, all love a sailor man; While Tom and Joe palaver oh, and buy the girls a gown; When the money's gone 'tis the same old song, Get up, Jack, John, sit down. When Jack's ashore, oh, then he'll steer to some old boarding house, He's welcomed in with rum and gin, and fed on pork and souse; He'll spend and lend, and never offend, and lay drunk on the groun'; When the money's gone 'tis the same old song, Get up, Jack, John, sit down. …

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
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 studies0.0010.000
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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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
Published2013
Admission routes1
Has abstractyes

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