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Record W4390994943 · doi:10.51644/9781771125864-001

Acknowledgements

2023· book-chapter· en· W4390994943 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhilosophy, History, and Historiography
Canadian institutionsnot available
FundersOntario Trillium FoundationUniversity of Windsor
KeywordsComputer science

Abstract

fetched live from OpenAlex

The idea for this book began while co-directing the public history project and website "Breaking the Colour Barrier: Wilfred 'Boomer' Harding and the Chatham Coloured All-Stars."That project would never have happened without the trust and generosity of Pat and Blake Harding, who were willing to share their carefully preserved scrapbooks on the Chatham Coloured All-Stars and sports career of their father and father-in-law, Wilfred "Boomer" Harding, as well as their time and commitment to see the project through.I never would have imagined a chance meeting at a history event I attended in Chatham in 2015 would lead to such a journey, but I am so grateful for it.I am privileged to have co-directed the project with colleagues in Leddy Library, University of Windsor, Heidi Jacobs and Dave Johnston, whose vision and expertise helped grow the project in ways I could not have done on my own.The support of the Chatham Sports Hall of Fame, the Chatham-Kent Black Historical Society and Black Mecca Museum, the Ontario Trillium Foundation, and the University of Windsor was instrumental, along with the many University of Windsor students and others who worked on it.A special thank you to all the families of the Chatham Coloured All-Stars who were willing to share their stories to make the history and memories of this team come to life once again.As I turned to the book, I was grateful to have the help of Ron Leary, whose research assistance went far beyond what I might have expected or imagined.His keen eye and research instincts (along with his tolerance for reading newspapers on microfilm) helped me move the story backward and forward in time, tracking clues and finding answers.As well, his help getting the manuscript ready for publication was also invaluable.I had several great student research assistants including Joshua Deehan, Julienne Rousseau, and Willow Key.I also had other research help from Linda Bunn, who kindly volunteered to search early newspapers in Windsor and Essex County for reports on Black baseball teams.I received assistance from librarians and staff at the Chatham-Kent Black Historical Society and Black Mecca Museum (particularly Dorothy Wright Wallace and Samantha Meredith),

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)0.004
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.560
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4400.343

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 head0.064
GPT teacher head0.218
Teacher spread0.154 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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