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Record W4312565731 · doi:10.7202/1086827ar

Les villages palissadés de la vallée laurentienne, un patrimoine archéologique unique

2022· article· fr· W4312565731 on OpenAlexaboutno aff
Simon Santerre

Bibliographic record

VenueArchéologiques · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtGeographyPolitical science

Abstract

fetched live from OpenAlex

Les palissades suscitent la curiosité. Elles symbolisent le défi que les premiers colons durent surmonter, soit celui de créer une enclave de protection au coeur d’un milieu hostile, et ce, avec des moyens plutôt rudimentaires. Des forts, des postes de traite et des missions ont notamment été ceints d’une clôture de pieux. Plusieurs villages ont aussi été dotés de tels ouvrages défensifs, mais dans plusieurs cas, il s’agissait plutôt de petits fortins et de redoutes aménagés en marge des habitations et ne protégeant que quelques bâtiments importants, dont l’église, le moulin et le manoir. Toutefois, trois villages français établis à la fin duxviie siècle, soit La Prairie, Boucherville et Pointe-aux-Trembles se distinguent d’autres établissements ruraux. En effet, ces villages étaient entièrement ceints de clôtures de pieux dans lesquelles les maisons étaient regroupées et organisées autour d’une trame de rues. Ces trois villages ont laissé des témoins archéologiques uniques au Québec, ainsi qu’une empreinte toujours visible dans le paysage.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.296
Teacher spread0.269 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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