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Record W6997381244

Valmy Thomas...First Virgin Islander to Play Major League Baseball...Friend and hero of Wallace Williams...Valmy is a Virgin Islands hero. He served in the Virgin Islands Government as commissioner of the Department of Conservation and Cultural Affairs, hosted a TV sports show and was active in local baseball and horse racing...Wallace Williams considered him a sports hero and friend and appeared on his TV show on several occasions to discuss track and field and road running. Valmy, was with Joe Christopher the center of debate as to who was the first Virgin Islander to play in the Major League as Joe was born in Frederiksted, St. Croix, Virgin Islands and Valmy was actually born in Santurce, Puerto Rico (his mother went to PR from home in St. Croix to give birth as medical facilities were limited). Williams considers Christopher a friend also as he associated with him when he headed the labor union for public library employees where Williams was Head Librarian. Williams recalls in the late 70's a discussion in a government sports, parks and recreation meeting at the Florence Williams Public Library hosted by Thomas, first mention of developing jogging and cycling trails in the V.I., specifically and to seek funding from Federal Gov. Block Grants...

2018· other· en· W6997381244 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Florida Digital Collections (University of Florida) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHEROLeagueGovernment (linguistics)RecreationQuarter (Canadian coin)Football
DOInot available

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.159
Threshold uncertainty score0.532

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1590.059

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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
Published2018
Admission routes1
Has abstractyes

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