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Record W7024417922

San Jose State Normal School Records

2010· article· en· W7024417922 on OpenAlexaboutno aff

Bibliographic record

VenueSan Jose State University Scholar Works (San Jose State University) · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsAttendanceState (computer science)Class (philosophy)RealiaQuarter (Canadian coin)Series (stratigraphy)Data collectionStudent activities
DOInot available

Abstract

fetched live from OpenAlex

The San Jose State Normal School Records document the early history and student life of the State Normal School. This collection consists of various types of records: accounting and financial files and ledgers, attendance and achievement records, board meeting minutes, commencement records, diplomas, enrollment statistics, graduate lists, student placements filed in cards and ledgers, teachers class journals, and trustee information, as well as general records pertaining to the daily operation of the school. Also included are a large number of records created by students of the San Jose State Normal School, such as alumni publications, Alpha Phi Omega meeting minutes, class diaries, photo albums, scrapbooks, and sketches. In addition, the collection contains a small number of realia in the form of banners, flags, and the dress of a 1906 Normal School graduate. This collection is arranged into six series: Series I: Administrative and Financial Records, 1861-1932; Series II: Legal Documents, 1870-1936, undated; Series III: Office of the Registrar Records, 1860-1934; Series IV: Students, Faculty, and Alumni Records and Publications, 1863-1927, undated; Series V: Miscellanea, 1871-1990, undated; and Series VI: Textiles, 1881-1921.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.161
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.016
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1610.089

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 head0.006
GPT teacher head0.168
Teacher spread0.162 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2010
Admission routes1
Has abstractyes

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