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Record W1981012790 · doi:10.1076/jhin.11.1.2.9109

Magendie and the Chemists: The Earliest Chemical Analyses of the Cerebrospinal Fluid

2002· article· en· W1981012790 on OpenAlex

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

VenueJournal of the History of the Neurosciences · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsCerebrospinal fluidLumbar punctureCerebral Spinal FluidLumbarMedicineNeurosciencePathologyPsychologySurgeryAnesthesia

Abstract

fetched live from OpenAlex

Having described the spinal fluid, François Magendie (1783–1855) called upon a number of chemists in Paris to analyze the material, in the effort to decide if it was a special secretion of the nervous system or simply a filtrate of the blood. J.L. Lassaigne (1800–1859) and J.P. Couerbe (1805–1867) responded. Their results, and those of some earlier investigators, are described. In the ensuing years of the nineteenth century, other investigators similarly conducted analyses of spinal fluid, but these were usually of single constitutents in poorly defined diagnostic conditions. In 1909–1912, William Mestrezat (1883–1928) took advantage of the recently introduced technique of lumbar puncture, which by now had become hospital routine, and introduced the modern era of systematic analysis of many components of the spinal fluid, correlated with specific disease states.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.010
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
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 head0.087
GPT teacher head0.258
Teacher spread0.172 · 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