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Record W303135442

Winter League Escapades

2000· article· en· W303135442 on OpenAlexvenueno aff
Dan Gordon

Bibliographic record

VenueNine · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsThrivingLeagueStadiumHistoryLawAdvertisingSociologyPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Dispatches from Ballparks in the Dominican Republic Santiago, La Romana, and San Cristobal were quiet, less densely populated cities with few paved roads. Their stadiums were among only a handful of places where I felt a strong sense of community. In the grandstands people knew one another, partook in shared traditions, felt connected to the community, and felt a sense of belonging to something greater than themselves. I found the atmosphere stimulating and deeply relaxing. In Santiago, the Dominican Republic's second largest city, weeds grew tall between buildings and along cracks in the pavement. There were no tall buildings, no thriving commercial districts, no tourists. After checking in at a dingy, mosquito-infested motel near Aguilas Cibao Stadium, I accompanied the owner, a big, burly, unshaven man in his forties, to that afternoon's game. On the grounds, we merged with the crowd of vendors, scalpers, customers, and bystanders. Women wearing bonnets protected themselves from the sun with black umbrellas. My companion approached several scalpers and tried to bargain. Realizing they were holding firm in their prices, he said to one, OK. Two tickers, and walked away, leaving me to pay. My companion was abrasive, crude, and unresponsive to my attempts at dialogue. He had tried to overcharge me at the motel and backed off only after I had pointed to the spray-painted rates on the wall behind the check-in counter. But I didn't feel unsafe in his presence. When he had announce d at the hotel that he was also planning to go to the game, I judged from the intent look in his face that he was a fan. In front of the gate, he leaned his weight on my shoulder, slipping a flask of rum into his right sock. We entered the left-field bleachers. The benches there were splintered, the sun strong. My companion asked me for one peso, went off to find a vendor, and returned with an orange and two lemonade slushes. After sitting down he removed rum from his sock and poured some in both cups. I sipped. Why do you keep the rum in your sock? I asked. He looked both ways then whispered, Stadium police. He handed me half of an orange. Black umbrellas dotted the stands. Some women with children clinging tightly to their waists held huge, shade-producing, tropical leaves over their heads. Children in our section were jumping onto the field in the left-field corner and climbing into a hole in the fence of the grandstand along the third baseline. Two security guards watched from foldable chairs in the bullpen but did nothing. Once the game started the crowd turned quiet, as if mellowed by the hot sun. Aguilas kept the crowd quiet, falling behind by several runs. My companion talked and laughed with neighbors. He said to me that it had once been his dream to play in this stadium. This stopped me, he said, pointing to the flask, which was back in his sock. He seemed unremorseful, for the moment, springing up and heading down several rows to share his rum and mingle. Minutes later, Aguilas's left fielder dove and made a catch and suddenly people were jumping up and down, whooping, as Aguilas came to bat. As Aguilas's players began slapping base hits, my companion returned to his seat, pouring rum into my cup then winking, as if to assure me that Dominican run would have a positive effect. With each hit the crowd grew more festive. In the left-field grandstand, fans shook the fence, seemingly in the cadence of a merengue song. During a pitcher's conference, they faced into the crowd. Someone in one of the first few rows lofted an orange into the crowd above. There was a hush; then thousands of oranges were lofted. The grandstands parted down the middle with fans taking cover, oranges bouncing off of umbrellas, some escaping onto the field. My companion was among many in our section who looked on, at first with amusement, then with concern, as an orange war erupted in the right-field grandstands. …

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 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 score0.435
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2050.001

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 head0.012
GPT teacher head0.194
Teacher spread0.182 · 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
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
Published2000
Admission routes1
Has abstractyes

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