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Record W4386052344 · doi:10.56397/sssh.2023.08.02

Discovery of Insulin is a Great Achievement for the Diabetes Patients

2023· article· en· W4386052344 on OpenAlexaboutno aff
Devajit Mohajan, Haradhan Kumar Mohajan

Bibliographic record

VenueStudies in Social Science & Humanities · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMilestoneBachelorInsulinDiabetes mellitusSentenceWork (physics)MedicineWelfareFace (sociological concept)GerontologyHistoryPolitical scienceInternal medicineSociologyEndocrinologyComputer scienceLawEngineeringArtificial intelligenceSocial science

Abstract

fetched live from OpenAlex

Before the discovery of insulin, a diabetes patient must face an unavoidable death sentence. The discovery of insulin is a milestone in medical science, and it is really a revolutionary work for the welfare of the diabetes patients. In parallel it creates controversies and disputes among scholars; and disappointments, failures, and hopes in the way of discovery. The leading work to the discovery of insulin has been started in 1921 by the Canadian medical scientist and physician Frederick Grant Banting, who had no research experience, no publications, and not even a doctorate degree. He has started research through the supervision of Professor John James Richard Macleod; with two lab assistants of the bachelor degree students named Charles Herbert Best, and Edward Clark Noble, and ten dogs as experimental devices. The first applications of insulin in human body became possible in 11 January 1922 on Leonard Thompson, a 14-year-old boy who was suffering from diabetes mellitus. This study tries to discuss the aspects of discovery of insulin and the further continuous development of it for the welfare of the diabetes patients.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.126
GPT teacher head0.394
Teacher spread0.268 · 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 teacher head, not a consensus.

Study designObservational
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

Citations12
Published2023
Admission routes1
Has abstractyes

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