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Record W2003323538 · doi:10.3406/pharm.2004.5597

Les Alsaciens-Lorrains élèves en pharmacie à Nancy de 1872 à 1914

2004· article· fr· W2003323538 on OpenAlexaboutno aff
Pierre Labrude, François-Xavier Remmel

Bibliographic record

VenueRevue d histoire de la pharmacie · 2004
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAnnexationPharmacyPharmacistQuarter (Canadian coin)World War IIFirst world warHistorySociologyMedicinePolitical scienceFamily medicineLawAncient historyArchaeologyPolitics

Abstract

fetched live from OpenAlex

Because of the war against Prussia, the school of pharmacy of Strasbourg was transfered to Nancy in 1872 with some of its professor. These professors are generally well known, but it is not the same for students who came from annexed departments to Nancy for studying pharmacy between 1872 and 1914. The archives stored in Nancy show that, during these fourty years, the quarter of pharmacy students in Nancy were native of Alsace or Moselle. We specify their number for each year after annexation. Some situations, illustrated by examples, are possible: young men who came in France before annexation, students who came with their family when they were children, pharmacists with a diploma obtained in Strasbourg having the wish to emigrate in France some years later. Our results lead to questions whose answers are difficult to formulate and would perhaps justify another study: what were the reasons for the obtaining of the french pharmacist diploma ?, what was the professional activity of these pharmacists ?, what was their posture during the First World War, did some of them return to Alsace or Moselle after the war? Whatever the answers, the presence of these << Alsaciens-Lorrains >> students was significant and precious for the school of pharmacy of Nancy at this period.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0090.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.272
Teacher spread0.246 · 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 designNot applicable
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

Citations1
Published2004
Admission routes1
Has abstractyes

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