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Record W7011116506

Les juniorats, ou,.

2014· article· fr· W7011116506 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2014
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Work (physics)Set (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

Fondee et dirigee par les PP, Oblats de Marie ImmaculSe.AU GENEREUX LECTEUR, II faut des Mission- i grand cri s'e"leve de tous cotes : " II noue ' Envoyez des ouvriers dans la Yigne du Seigneur !La mois- Un n aires son est grande, mais les ouvriers sont peu nombreux !" Afassi* qnidem multa, operarii a?item pauci."Et ce cri se fait entendre du Pacifique a l'Atlantique; au milieu des glaces da Nord comme au sein des regions brulantes du Sud.-Les Eveques du Nord-Ouest et de laColombie Britannique, les Apotres du Labrador et de la Baie d'Hudson, nous le repetent avec des accents qui penetrent jusqu'a l'intime de notre Sme.La premiere parole que font entendre les missionnaires qui vont implorer la generosite des peuples en faveur de leurs chores missions, c'est encore la parole de TErangile : La moisson est grande, mais les ouvriers sont peu nombreux.u operarii pauci."Co cri a trouve un echo dans notre coeur et nous croyons pouvoir y repondre.-Mais nous ne voulons pas, nous ne pouvons pas nmbitionner seuls la gloire de contribuer au salut des peuples et a l'extension du regne de Dieu.-Nous voulons associer a notre ceuvre des ames gendreuses.-Nous ne pouvons d'ailleurs nous passer de leur concours.Tous ne se sen tent pas appeles a faire les sacrifices hero'iques qu'entraine la vocation a l'Apostolat j Tous ne peuventpas aller par PFSciZ It ( 26 73 /.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.230
Threshold uncertainty score0.771

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.002
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.2300.108

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 head0.019
GPT teacher head0.171
Teacher spread0.151 · 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
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
Published2014
Admission routes1
Has abstractyes

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