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Record W2597104955 · doi:10.24908/iqurcp.10215

Hell Hound Rogers or The Great Town Benefactor: Who Was Henry Huttleston Rogers?

2018· article· en· W2597104955 on OpenAlexvenueno aff
David Braga

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsGilded AgeScholarshipPoliticsBiographyHistoryNewspaperLegislationBig businessLawArt historySociologyPolitical science

Abstract

fetched live from OpenAlex

The Gilded Age was a period in American History from the end of the Civil War lasting until around 1900, known for big business ruling the country. Henry Huttleston Rogers was a prominent figure in the Gilded Age but has seldom been talked about because other figures of the period such as John D Rockefeller have overshadowed him. Rogers was the Vice President of Standard Oil, the most powerful trust in United States history. The lack of scholarship on Rogers and his historical significance created the need for him to be researched. Rogers’ business dealings helped lead to comprehensive legislation that regulated business, particularly President Theodore Roosevelt’s square deal. This research project sought to investigate who Henry Huttleston Rogers was and his role in the Gilded Age. Sources on Rogers either portray him in a positive light and talk about him as The Great Town Benefactor of his native town, Fairhaven, Ma or as a robber baron who cared solely about his own wealth. Primary sources on Rogers include first hand accounts published in book form by Thomas Lawson, letters between Rogers and Mark Twain, which were published, political cartoons and archival research materials that included personal correspondence, newspapers, and building deeds. Secondary sources include a biography on Rogers and various sources published by local writers from the town of Fairhaven. With all of this taken into consideration it became evident that there was a dual personality to Rogers but that he cared about his wealth more than anything else.

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.005
Scholarly communication0.0060.005
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.078
GPT teacher head0.324
Teacher spread0.246 · 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
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
Published2018
Admission routes1
Has abstractyes

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Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicAmerican Environmental and Regional HistoryFrench-language works237,207