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Record W1925093225 · doi:10.4000/rhei.968

L’enfant et le réseau charitable catholique montréalais : le cas de la Société de Saint-Vincent-de-Paul, 1848-1930

2003· article· fr· W1925093225 on OpenAlexaffabout
Éric Vaillancourt

Bibliographic record

VenueRevue d’histoire de l’enfance « irrégulière » · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

En choisissant de fonder, en 1848, une succursale montréalaise de la Société de Saint-Vincent de Paul (SSVP), l’évêque de Montréal accordait par la même occasion un statut particulier à l’œuvre de charité laïque. Grâce à la réalisation d’un nombre considérable de visites à domicile, les laïcs ont été en mesure d’évaluer les besoins de plusieurs milliers d’enfants des familles pauvres. La SSVP est devenue un intermédiaire privilégié entre les familles et les institutions charitables. Notamment en ce qui concerne l’assistance à l’enfance, le contexte socio-religieux a fait en sorte que la succursale s’est vue confinée à jouer ce rôle d’intermédiaire. Pendant quelques décennies, la succursale a dû faire la sourde oreille au conseil général de Paris et se contenter de pratiquer un patronage des écoliers tronqué de sa dimension spirituelle. Comme elle a dû se retirer des instances directionnelles du premier patronage montréalais des apprentis. Paradoxalement, cela a permis d’accroître sensiblement l’importance du laïc au sein d’un réseau d’institutions charitables tenues principalement par les communautés religieuses. Au moins jusqu’aux premières décennies du XXe siècle, la SSVP constitue un rouage fondamental du réseau charitable catholique montréalais.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.006
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.008
GPT teacher head0.265
Teacher spread0.257 · 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 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
Published2003
Admission routes2
Has abstractyes

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