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Record W6921712586 · doi:10.7910/dvn/soq99

Massachusetts Archives Collection. v.182-Revolution Petitions, 1777. SC1/series 45X, Petition of Tamson Moody

2015· dataset· en· W6921712586 on OpenAlexaboutno aff

Bibliographic record

VenueHarvard Dataverse · 2015
Typedataset
Languageen
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsArchivistEndowmentPoliticsExposition (narrative)Action (physics)Center (category theory)

Abstract

fetched live from OpenAlex

<p>Petition: Permission to travel </p> <p>Original: <a href="http://nrs.harvard.edu/urn-3:FHCL:13909108">http://nrs.harvard.edu/urn-3:FHCL:13909108</a> </p> <p>Date of creation: 1777-04-02 </p> <p>Petition location: Boston </p> <p>Top signatures:<ol><li>Tamson Moody</li></ol> </p> <p>Actions taken on dates: 1777-04-05,1777-04-06 </p> <p>Legislative action: Received in the House on April 5, 1777 and resolved and sent for concurrence and received in the Council on April 6, 1777 and read and concur red </p> <p>Total signatures: 1 </p> <p>Legislative action summary: Received, resolved, sent, received, read, concurred </p> <p>Female signatures: 1 </p> <p>Identifications of signatories: [females] </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>: Manuscript </p> <p>Additional archivist notes: John Moody, Halifax, Margaret Ball, Captain Eayers </p> <p>Acknowledgements: Supported by the Nati onal 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 score0.005
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.005

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 head0.018
GPT teacher head0.255
Teacher spread0.237 · 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
Published2015
Admission routes1
Has abstractyes

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