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Record W4229689144 · doi:10.1021/cen-09435-scitech

Perspectives: Giving credit where it is due

2016· article· en· W4229689144 on OpenAlexaff
Cassidy R. Sugimoto, Vincent Larivière

Bibliographic record

VenueC&EN Global Enterprise · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBusinessEconomicsGeology

Abstract

fetched live from OpenAlex

Sexism is often used to frame the discovery of the structure of DNA in the early 1950s. The story is one in which the contribution of a female scientist is overlooked while her male colleagues reap all the rewards. This is not an uncommon trope in the history of science, a phenomenon labeled as the Matilda effect by science historian Margaret W. Rossiter. Under closer scrutiny, however, the DNA story reveals a more nuanced narrative about the disparities in giving credit where it is due. These disparities still persist in our contemporary scientific landscape, and the biases behind them are hindering scientific and technological advancement. In 1953, a set of three research papers was published sequentially in Nature, with each paper addressing discoveries related to the structure of DNA. The first article, by James D. Watson and Francis H. C. Crick, was theoretical, containing a “purely diagrammatic” figure. The authors

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)0.006
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.044
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.018
Scholarly communication0.0200.018
Open science0.0010.007
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0440.008

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 head0.014
GPT teacher head0.228
Teacher spread0.214 · 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
GenreCommentary

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

Citations1
Published2016
Admission routes1
Has abstractyes

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