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Feel Yourself Grow

2025· book-chapter· en· W4414510299 on OpenAlexaboutno aff
Tonya Bolden

Bibliographic record

VenueUniversity Press of Mississippi eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsFalse accusationGeorge (robot)White (mutation)FountainRace (biology)

Abstract

fetched live from OpenAlex

This chapter follows Charlie Wood's family as they arrive in Washington, DC, in the summer of 1912, when the city was still growing and landmarks like Union Station and the Columbus Fountain were new. It details young William Benson Bryant's early life on Benning Road, NE, surrounded by country roads, kerosene lamps, and outhouses. It also highlights the marriage of Bryant's mother Alberta to George S. Washington, a kind porter who read reports of lynchings from the Star aloud at home. The chapter underscores the trauma of the 1919 race riot in DC, sparked by a false accusation and fueled by White rage over Black advancement, which turned violent just blocks from Bill's home. It paints a vivid picture of the racial violence, fear, and family strength that shaped Bill Bryant's early life in the nation's capital.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.189
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0070.003
Scholarly communication0.0090.007
Open science0.0010.008
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.1890.158

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 head0.231
Teacher spread0.212 · 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
Published2025
Admission routes1
Has abstractyes

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