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Record W6977507662 · doi:10.7916/d8-1d1d-4s75

Oral history interview with Allen Jorgensen 1997

2019· article· en· W6977507662 on OpenAlexaboutno aff

Bibliographic record

VenueColumbia Academic Commons (Columbia University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOral historyStyle (visual arts)CrewEmpirePromotion (chess)Latin Americans

Abstract

fetched live from OpenAlex

Childhood: born Calgary, Canada; family’s return to Jutland, Denmark, 1920-1930; Troy, New York: Danish community 1930-1932; high school: Jersey City, New Jersey, 1933-1937; undergraduate education: Uppsala College, East Orange, New Jersey; travels through American West, 1937-1939: work as movie extra, riding freight trains; WW II: Merchant Marines service: troop training-ship Vema, 1941; coxswain training-ship Empire State, 1941; Murmansk, Russia; seaman to chief mate, 1941-1945; marriage 1945; Lamont-Doherty Earth Observatory [LDEO] experiences: chief mate LDEO research vessel Conrad, 1967-1969; promotion to Conrad captain, 1969; sailing Southern Hemisphere; ship operations’ costs; Antarctic expeditions; relations between ship crew and LDEO scientists; democratic captaining style versus 19th century captaining style on LDEO’s research vessels; impressions of chief scientists, comparisons between LDEO and Woods Hole Oceanographic Institute [Woods Hole] and University of Washington research vessels; Woods Hole ship captain, 1979-1981; Latin American ports; Conrad retirement; losing radio contact in Pacific; Titantic search; Conrad’s layout.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.217
Threshold uncertainty score0.497

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0070.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1490.028

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 head0.044
GPT teacher head0.236
Teacher spread0.192 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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