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Record W4245711015 · doi:10.1353/nin.2019.0036

Second Chances

2019· article· en· W4245711015 on OpenAlexvenueaboutno aff
Ethan D. Bryan

Bibliographic record

VenueNine · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureHistoryMedia studiesArt historyVisual artsArtSociology

Abstract

fetched live from OpenAlex

Second Chances Ethan D. Bryan (bio) It started with a whisper. It seems all my ideas and dreams start this way, with a relentless gnawing at the gut, bouncing around like the weather in March and Spring Training pitcher ERAs. The whisper was perfectly and passionately ludicrous and tripled my pulse every single time I was quiet enough to listen to it. I couldn’t help but think of Field of Dreams along with the email I once received from W. P. Kinsella, the author of the book that inspired the movie, “It is the fiction writer’s job to create weird characters, but I wouldn’t want to know any of them in real life.” I spent the calendar year of 2018 playing catch. Every day for an entire year. It was one of the best years of my life. I loved the adventure of meeting new people and hearing amazing stories alongside the simple joys and sounds and smells of connecting through not-so-fastballs and the snapping of leather. When the calendar turned to 2019, I appreciated the freedom from the self-imposed pressures of having to find a daily catch partner. But, I also greatly missed the activity itself. I successfully ignored the whisper in January and February only to have it return with a vengeance once Spring Training games started. “Can you remember who you were before the world told you who you were supposed to be?” author Ian Morgan Cron once wrote. I read his words and was sent on a remembering journey of my earliest days in Columbia, Missouri and Grand Junction, Colorado and Springfield, Missouri. I remember watching the 1980 World Series and pick-up baseball games anywhere and everywhere and collecting thousands upon thousands of baseball cards. Until I was sixteen, I remember saying I was going to be a professional baseball player when I grew up. At sixteen, I was a smallest-kid-onthe-team, score-keeping, foul-ball-chasing, bench-warming relief pitcher and middle infielder for the junior varsity. And then I stopped playing. I stopped playing mostly because my body didn’t grow on my timeline. I couldn’t run as fast or throw as hard as anyone else on the team. My stirrup [End Page 171] socks reached the middle of my thigh and touched the bottom of my tucked in jersey. I didn’t know that chasing professional baseball dreams meant continuing to work hard while waiting on my body’s biology. “For as long as I can remember, all I’ve wished for was one more chance to play ball—to step on the mound, toe the rubber, and pour my heart out; to flip Field of Dreams on its head and wink at the hitter just before I got him out.”1 I first wrote those words years ago, words now published in my first novel, Dreamfield. A light-hearted story of baseball, faith, and time travel, Dreamfield was ultimately about second-chances. With my arm in great baseball shape, I decided to take a chance to see if those words might become reality. I decided to try and play organized baseball again. On Sunday, August 4, 2019, the Grip ‘N’ Rip Baseball League (GRBL) would host tryouts at US Baseball Park in Ozark, Missouri. Tony Lewis is the commissioner and founder of the highly competitive, wood-bat league which started in 2015. He and I played catch on the concourse during the championship game of the GRBL in 2018. Tony played ball at Glendale High School in Springfield and continued collegiately at Missouri State University and Drury University. He then played for the Quebec Capitales of the CAN-AM Independent Baseball League. “Softball just isn’t my thing. Baseball is my passion, and I wanted to provide an opportunity for those who still want to play ball, for those who really love the game,” Tony said. The six-team, white-pants league “strives to provide the ultimate baseball experience for players still young at heart.” Seven games in August and September were followed by playoffs with the winning team raising the Howard Bell Trophy, a trophy named after a beloved high school...

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)0.008
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: Other · Consensus signal: Other
Teacher disagreement score0.825
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0100.005
Open science0.0020.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.8250.675

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 head0.016
GPT teacher head0.183
Teacher spread0.167 · 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
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
Published2019
Admission routes2
Has abstractyes

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