MétaCan
Menu
Back to cohort
Record W6902735579 · doi:10.7910/dvn/ypkdg

Senate Unpassed Legislation 1842, Docket 11057, SC1/series 231, Petition of J.H. Browne

2017· dataset· en· W6902735579 on OpenAlexaboutno aff

Bibliographic record

VenueHarvard Dataverse · 2017
Typedataset
Languageen
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationRepealColumn (typography)PoliticsEndowmentNational archives

Abstract

fetched live from OpenAlex

<p>Petition subject: To repeal the interracial marriage, anti-miscegenation law and all laws making any distinctions based on color </p> <p>Original: <a href="http://nrs.harvard.edu/urn-3:FHCL:11858179">http://nrs.harvard.edu/urn-3:FHCL:11858179</a> </p> <p>Date of creation: (unknown) </p> <p>Petition location: Sudbury </p> <p>Legislator, committee, or address that the petition was sent to: Francis R. Gourgas, Concord </p> <p>Selected signatures:<ol><li>J.H. Browne</li><li>Loring Eaton</li><li>Lucinda B. Browne</li></ol> </p> <p>Total signatures: 50 </p> <p>Legal voter signatures (males not identified as non-legal): 21 </p> <p>Female signatures: 24 </p> <p>Unidentified signatures: 5 </p> <p>Female only signatures: No </p> <p>Identifications of signatories: undersigned, [females], ["inhabitants"] </p> <p>Prayer format was <a href="http://en.wikipedia.org/wiki/Printing">printed</a> vs. <a href="http://en.wikipedia.org/wiki/Manuscript">manuscript</a>: Printed </p> <p>Signatory column format: not column separated </p> <p>Additional non-petition or unrelated documents available at archive: no additional documents </p> <p>Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1842, Docket 11057 </p> <p>Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.</p>

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.010

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 head0.022
GPT teacher head0.281
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHarvard DataverseSame topicLegal Cases and CommentaryFrench-language works237,207