MétaCan
Menu
Back to cohort

Charles Wicksteed Armstrong and positive eugenics

2019· article· en· W2998709272 on OpenAlex
Pedro Frederico Falk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResgate Revista Interdisciplinar de Cultura · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine and Tropical Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEugenicsDutyContext (archaeology)Variety (cybernetics)HereditySociologySocial scienceGerontologyHistoryLawPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Charles Wicksteed Armstrong (1871-1963) was a British writer, schoolmaster, and eugenicist who lived most of his life in Brazil during three distinct periods. His experience in Brazil served to gain practical experience and knowledge to propose his positive eugenic measures in England or, especially, with Englishmen. Thus, using a variety of primary sources, with documentary and bibliographical analysis, this article seeks to show how Brazil served as an experimental eugenics’ laboratory for Armstrong. This made Armstrong confident that he possessed the necessary knowledge to fulfill his patriotic duty and to save England from racial suicide. In this context, the physical environment, health situation (mental, physical and intellectual) and heredity of an individual were important factors that could influence the survival of the people.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.250
Teacher spread0.237 · 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