MétaCan
Menu
Back to cohort
Record W4223630594 · doi:10.3138/cras.2021-005

Jane Gray’s Framing of Asa Gray through Autobiography, Biography, and Correspondence

2022· article· en· W4223630594 on OpenAlexvenueno aff
Jonathan Locke Hart

Bibliographic record

VenueCanadian Review of American Studies · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGray (unit)BiographyPortraitWifeFraming (construction)ReputationArt historySociologyHistoryLiteratureArtLawPolitical scienceMedicineSocial science

Abstract

fetched live from OpenAlex

Jane Loring Gray, wife of celebrated and renowned Harvard botanist Asa Gray, helped to build up the work and the posthumous reputation of her husband as a leading scientist, an advocate of Charles Darwin, and a popular proponent of science in the nineteenth-century United States. Jane left Asa the scientist for others and wanted to create a portrait of Asa the person. This article discusses the Grays’ partnership in science, places that relationship in context, and stresses the contribution Jane made to Asa’s legacy, including the way she framed her husband’s work and reputation after his death. The emphasis is on the literary, historical, cultural, biographical, and autobiographical dimensions of the Grays’ work, on the implications that work has for botany and science, and on the challenges that Jane Gray had owing to her gender, to family and social roles, and in the face of delicate health.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.011
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.261
Teacher spread0.231 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Review of American StudiesSame topicBotany, Ecology, and Taxonomy StudiesFrench-language works237,207