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Record W7024179498

The Red Schwinn Bicycle: "A Sentimental Journey"

2007· article· en· W7024179498 on OpenAlexaboutno aff

Bibliographic record

VenuePepperdine Digital Commons (Pepperdine University) · 2007
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsBrotherNephew and nieceLuckWorld War IISpanish Civil WarPerformance artShitMidnight
DOInot available

Abstract

fetched live from OpenAlex

An endearing and captivating story, The Red Schwinn Bicycle: A Sentimental Journey, recounts the journey of one bike and the fun, selfishness, arguments, sadness, and fond memories that its presence creates for six boys.The first owner, "Red," receives the bike through a stroke of sheer luck when his mother wins her bet on a game of chance known simply as "the numbers." While experiencing firsthand the ugliness of war and death on Iwo Jima as a Marine in World War II, Red envisions the good times he had with his bike to seek relief from fierce fighting with Japanese soldiers. Red must decide if he will pass the bike onto his brother Robert, and will nephew Richard become another owner of the bike! Jack, a neighborhood boy whose widowed mother cannot afford a bike, is allowed to use the bike, becomes a paratrooper and is sent to Korea. Barrie, who believes he will someday follow in family ownership of the bike fights fiercely for the first time, with a brother he loves dearly over the bike. Tommy, an adopted, friendly little boy, who also uses the bike will take it on its final ride.A touching memoir, The Red Schwinn Bicycle is the story of how six boys' lives are affected by the use of this enchanting and magnificent bike.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.528
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.263
Teacher spread0.244 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

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