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Record W7007729558

African American Obituary Tenth Street Collection : 1993 -2018

2000· other· en· W7007729558 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2000
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsObituaryAfrican americanGeorge (robot)Performance artBay
DOInot available

Abstract

fetched live from OpenAlex

A collection of funeral service cards for African Americans who lived in the Tenth Street area of Newark and passed away 1993-2018. They are arranged alphabetically and include,Norman Anderson, Susanna Armstrong, Thurman Armstrong, Nita Black, Rodney Blake, Allen Brown Jr., Annie Brown, Gary Chandler, Elsie Cole, Katherine Cole, Patricia Cook, Bette Croom, Betty Driskell, Hiawatha Franklin Jr., Mary Lou Franklin, Ralph Franklin, James Gilham, Minnie Gilham, Phoebe Gilham, Wilma Gilham, James Good, Edward Herndon, Florence Herndon, Helen Hickam, Augusta Hill, Terry Hill, Evelyn Holbert, Margie Irvin, Joann Jackson, Vernon Johnson Sr., Maude Johnson, Gordon Jones, Mildred Jones, Alberta Mathews, Clarence Mathews, James McMullens, Ruth McMullens, Albert Meriweather, Howard Moore, Marilyn Nickles, Martha Orr, Janet Powe, Vinnie Price Sr., Robert Ross Jr., Calvin Scott, Lee Sellers, James Smith, Willa Bay Smith, Carl Steele Sr., Jeremiah Steele, Lulu Steele, Miles Steele, Robert Steele, Robert Swartz, Alfred Thomas, Lulu Walker, Frances Ward, Shirley Ward, Robert Weaver, Geneva White, Florence Williams, A.T. Williams, Betty Williams, Jossie Williams, Marilyn Williams, Thelma Williams, William Worley.The collection is from the 10th Street Reunion Collection.

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 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: Dataset · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score0.616

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.5680.374

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 head0.059
GPT teacher head0.330
Teacher spread0.271 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2000
Admission routes1
Has abstractyes

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Same venueBiblioBoard Library Catalog (Open Research Library)French-language works237,207