Les aînés actifs et l’archéologie publique au Québec: enquête sur les motivations et les obstacles à la participation
Bibliographic record
Abstract
Abstract: People 50 years and over constitute an important segment of the archeological heritage public. Given population aging in Quebec, adapting the range of public archeological activities offered has become imperative. However, very limited research is conducted to help archeologists and archeology mediators proceed in this regard. This article communicates the results of a research conducted at the Musée des plaines d’Abraham (Québec), within a workshop for active seniors. We establish the socio-demographic profile of casual participants to public archeological activities. We also try to identify the incentives and obstacles to such participation. KEYWORDS: Public Archeology; survey; motivations; obstacles; participation; Résumé: Les 50 ans et plus forment une part importante des publics du patrimoine archéologique. Avec l’accroissement du vieillissement démographique que connaît le Québec, il devient impératif d’adapter l’offre d’activités d’archéologie publique aux aînés. Peu de recherches sont toutefois menées pour guider les archéologues et les médiateurs de l’archéologie dans ce processus. Cet article présente les résultats d’une enquête réalisée au Musée des plaines d’Abraham (Québec), lors d’un atelier destiné aux aînés actifs. Celui-ci dresse le profil sociodémographique de participants occasionnels aux activités d’archéologie publique. Il tente également de cerner les motivations et les obstacles à leur participation.MOTS CLES: Archéologie publique; enquête; motivations; obstacles; participation
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".