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Record W7061522093

Quelques notes sur la vente du chemin de fer.

2014· article· fr· W7061522093 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2014
Typearticle
Languagefr
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsnot available
Fundersnot available
KeywordsFirst world warFrench revolutionQualitative analysis
DOInot available

Abstract

fetched live from OpenAlex

D'abord, en vendant notre chemin $7,600,000, on retranche $45G,000 de charges annuelles en intérêts et amortisse- ment qui pèsent aujourd'hui sur notre budget.Jen'aurai qu'à répéter ici l'argumentation si claire présentée à la chambre l'autre jour par l'Hon.Premier, et je vais suivre et amplifier son idée.Le syndicat Allan, devait nous verser le revenu suivant : Pour cinq premières années... $425,000 " autres " 450,000 " autres " 475,000 " autres " 515,000 Moyenne annuelle $462,500 Mais, remarque le Premier, il fallait dépenser $100,000 sur le chemin.Ainsi le dit la soumission Allan-Rivard : " Enfin, la compagnie s'obligera de parachever le chemin de fer pour et moyennant la somme de quatre cent mille piastre*, QUI SERA déduite du loyer on sur le prix de vente dans le cas où la compagnie achèterait." Le remboursement de $400,000 à même un loyer n'est pas une petite chose car les intérêts y jouent un rôle im- portant.Si vous payez comptant, ce montant vaudra par les intérêts $ 1,063,319 dans vingt ans.Si vous ne payez que dans vingt ans, il y aura $20,000 d'intérêt par année, plus le capital dans vingt ans.La manière la plus équi- table est d'ajouter à l'intérêt un paiement partiel tous les ans, c'est-à-dire $32,000 par année.Car, d'après les tables de l'arithmétique, une somme annuelle de $32,000 pendant vingt ans vaut $400,000.Nous arrivons donc au tableau suivant : Montant Valeur apparent, réelle.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.012
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0280.004

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

Explore more

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