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Record W7064207230

The birth of a medical research programme. the Rhesus (Rh) factor studies, Dr. Bruce Chown, and the Faculty of Medicine, University of Manitoba, 1883-1946

2011· dissertation· en· W7064207230 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectron Spin Resonance Studies
Canadian institutionsnot available
FundersAustralian Government
KeywordsSubject (documents)Medical researchMedical schoolNarrativeClinical researchFactor (programming language)
DOInot available

Abstract

fetched live from OpenAlex

The thesis is an analysis of the birth of the Rhesus (Rh) Factor Research Programme in the Faculty of Medicine, University of Manitoba. Rh Factor is one of the blood groups which can lead a pregnant mother to react to her baby’s blood and destroy it. Research on this disorder yielded one of Manitoba’s most profound medical discoveries. The account reveals that three elements contributed to this research, namely the researcher, the circumstances and chance. The narrative identifies the researcher, Dr. Bruce Chown, as a major influence in the development of the Faculty of Medicine, University of Manitoba. The conditions nationally and locally that enabled him to succeed in his research are examined. The role of chance in his picking a research subject is considered. The story of Bruce Chown and the start of the Rh research illustrates the beginnings of medical research in Manitoba. The primary sources for the study were the Archives of the University of Manitoba, Archives Manitoba and the National Archives Ottawa.

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)0.004
metaresearch head score (Gemma)0.004
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 score0.986
Threshold uncertainty score0.609

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.010
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.055
GPT teacher head0.310
Teacher spread0.255 · 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
Published2011
Admission routes1
Has abstractyes

Explore more

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