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Record W4252799992 · doi:10.1093/notesj/gjl034

Readers' Queries

2006· article· en· W4252799992 on OpenAlexaff
R. Preston

Bibliographic record

VenueNotes and Queries · 2006
Typearticle
Languageen
FieldComputer Science
TopicInformation Retrieval and Search Behavior
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVolume (thermodynamics)Library scienceInformation retrievalComputer scienceWorld Wide WebHistory

Abstract

fetched live from OpenAlex

THOMAS GORST AND CHARLES BAYLY. - Information is sought regarding the whereabouts of the journal(s) of Thomas Gorst (16??–87), employed by the Hudson's Bay Company as secretary to Governor Charles Bayly (16??–80), and also writings by Bayly, during the period 1670–9. Both were acute observers of the Native people of James Bay (the southern end of Hudson's Bay). Their writings would be of great interest to ethno-historians of Northern North America. Gorst's work was last quoted in John Oldmixon, The British Empire in America, vol.I (1708), and a brief extract is held in Guildhall Library. Bayly's writing is only referred to as ‘disappeared’. Gorst is thought to have died on Hudson Bay, while Bayly returned home to Covent Garden shortly before his death. Any information would be most gratefully received.

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)0.002
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.893
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0080.007
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0020.004
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.8930.813

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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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.

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
Published2006
Admission routes1
Has abstractyes

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