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Record W151409709

Confessions of an All-American Girl

2000· article· oc· W151409709 on OpenAlexvenueno aff
Faye Dancer, John B. Holway

Bibliographic record

VenueNine · 2000
Typearticle
Languageoc
FieldSocial Sciences
TopicMilitary history and social perspectives
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueWonderGirlArt historyArtVisual artsPsychology
DOInot available

Abstract

fetched live from OpenAlex

Madonna's Model Madonna portrays me in the movie, A League of Their Own. She plays a cut-up, and was the original clown of the league. Rules were always made to be broken, and think broke every rule in the book. met Madonna when they were making the movie in Skokie, Illinois. liked her. She was just like anyone else who was earning $60 million a year. In the All-American Girls' League we had to wear skirts and look like ladies at all times. The only time we weren't feminine was when we were playing ball. The guys would look at our short skirts, then look at our legs and wonder how we could slide without taking all the hide off ourselves. Well, we did take the hide off ourselves. Today the men can't even play if they have a strawberry, and they're making all those millions. God, whoever thought it would get like that? loved to slide. One year think stole 100 bases. They've got a picture of me sliding hanging in the Hall of Fame in Cooperstown. And could hit home runs. One of my managers said, I wish I'd have gotten you when you first started, because you had all the natural ability. But you want to swing so hard. Which did. hit a ton, because had more satisfaction doing that. started out playing softball in Beverly Hills with Pepper Paire B. Geena Davis played her in the movie. Practically every year we were champions; we used to get little trophies. In 1944 the All-American League sent out super-scouts, and Pepper and joined Minneapolis, a new franchise. was just out of high school and made $75 a week, which was a lot of money in those times and tops in the league. Some girls got $45-$50. Before ended was getting $125. That was supposed to be tops, but a lot of gals got more than that under the table. Each team was owned by a different business, so if the girls wanted to work part time they could make it legit. I'd say we were on a par with the Class-A or AA Minor Leagues at that time. From about '45 to '48 the league had very sizable crowds, maybe a million people a year. In '46 we went to Cuba for spring training, and we outdrew the Brooklyn Dodgers, who were also training there. always wanted the people to get their money's worth. So a lot of times I'd clown around and do acrobatics in the outfield. If made an out I'd stop by the grandstand behind first base and sit with the fans and say, Gosh, if you'd been yelling for me, I'd have gotten a base hit. Now, next time get up, you yell and I'll get a hit for you. Sometimes it worked. Not all the time, but sometimes. Or I'd hit a single and run it into a double--I could nearly always do that--I knew what kind of arms the outfielders had, and it usually wasn't close. Or maybe I'd get into a little argument with the umpires, things like that, to get the people into the ball game. I'd have glass eyes that used to get from carousel horses, and we'd have a little seance for base hits. We'd gather around and put them on, or keep staring at them and say, going to get a base hit-- or a home run, or win the ball game. We just concentrated on that horse's eye. I'd go up into the bleachers and hand out a few glass eyes, and the fans would hold them. They looked forward to that and in fact would come down and ask for them. One time we were winning seven or eight straight games, and all during the streak we didn't change uniforms, socks, anything. Good God, you had to put cologne on every night! We about stunk each other out of there! once got benched for being superstitious. My first manager was Bill Wamby, who made an unassisted triple play in the 1920 World Series. He saw us having a seance and said, You're not playing tonight. said, Why? I'm not hurt. You're overly superstitious. said, I've never heard such a ridiculous thing in my life. …

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)0.002
metaresearch head score (Gemma)0.008
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: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0340.010
Scholarly communication0.0060.005
Open science0.0010.008
Research integrity0.0060.017
Insufficient payload (model declined to judge)0.0150.003

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 head0.024
GPT teacher head0.354
Teacher spread0.329 · 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
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
Published2000
Admission routes1
Has abstractyes

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