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Record W7028235718

Finding Aid - Dr. Frederick C. Drake Papers

2017· other· en· W7028235718 on OpenAlexfundno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersBrock University
KeywordsNucleofectionGestational periodTSG101PretextHyporeflexiaDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

Materials related to military operations of the 1812-era, research of the late Dr. Frederick C. Drake, of the History Department at Brock University. Original folder titles, pertaining to an institutions call numbers, were retained and appear in parenthesis after the given folder title. The folders were placed into the Series and/or Sub-series which coincided with its original title. Folder titles contain the title of the material as well as the institution from which it derived in order for proper accreditation to be given, before materials are used and/or cited in a publication. Folders titled ―Individual or Family Papers‖ contain numerous different collections of letters from the Institution marked on the folder. When the bulk of the materials belong to one collection it is noted in the finding aid. All publications which the University did not hold were placed in series IV. If the University had access to the publications they were removed from the collection and noted in the separated materials category with their call numbers. The second manuscript The War for the Inland Seas: The Naval War of 1812 on the Great Lakes and the St. Lawrence River was incomplete when Dr. Drake passed away. His widow, Valerie Drake cleaned up the manuscript before donating it to Brock. The current manuscript reflects both Dr. and Mrs. Drake’s work.

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)0.007
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 score0.447
Threshold uncertainty score0.789

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4470.364

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 head0.198
Teacher spread0.184 · 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
Published2017
Admission routes1
Has abstractyes

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