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Record W7000977351

Humanisation d'un territoire agroforestier, déchets et résidus : le cas de La Patrie, Cantons-de-l'Est, Québec

2005· other· en· W7000977351 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2005
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPaceLand useProduction (economics)Period (music)Municipal solid wasteHuman being
DOInot available

Abstract

fetched live from OpenAlex

The following thesis addresses the humanization of an agro-forestry territory in the Eastern Townships region using the CEE technique (Area ecological classification) proposed by Pierre Dansereau. Humanization is considered as a long-term phenomenon marked by the increased impact of human activities in the landscape. The measure retained for evaluating this impact is the production of waste and residues in all the aspects of the CEE. After describing the physical environment, we analyse and map the land use during the successive periods of human land occupation Humanization begins with the presence of native Indians (11 000 BP - 500 BP) later disrupted by the contact with Europeans (1534- 1860), where the land is occupied sporadically. The second phase is characterized by the agro-forestry colonization (1860-1891), which sets in place the main landscape features. The third period (1891-1951) is characterized by a slow evolution of the human impact where humanization and the production of waste and residues become increasingly more important following the pace of continental economic activity. The advent of the modem era (1951-1976) disrupts the agro-forestry landscape in the form of large-scale land abandonments. In addition to an important rural decline, the accelerated integration into a consumer-driven society bring about the increased production of waste and residues leading to bigger management problems. Finally, if the actual period (1976-2000) is characterized by a certain stabilization of the habitat, the pursuit of a consumer-driven economy characterized by increasing environmental concern require the implementation of policies for waste and residue management. Through the use of the CEE technique in a long-term geo-historical perspective, this research work also proposes through the waste and residue variable, an original measure of the humanization of a territory.||Le présent mémoire étudie l’humanisation d’un territoire agroforestier des Cantons-de-l’Est à l’aide de la Classification écologique des espaces (CEE) proposée par Pierre Dansereau. On y considère l’humanisation comme un phénomène de longue durée marqué par un impact grandissant des activités humaines dans le paysage. La mesure retenue pour témoigner de cet impact est la production de déchets et résidus, à tous les volets de la CEE. Après une description du milieu physique, on analyse et cartographie l’occupation des sols au long des périodes successives d’occupation humaine. L’humanisation débute avec la présence amérindienne (11 000 BP - 500 BP), bouleversée ensuite par le contact européen (1534-1860) où le territoire est occupé sporadiquement. La deuxième phase est celle de la colonisation agroforestière (1860-1891) où se mettent en place les grands traits du paysage. La troisième période (1891-1951) se caractérise par une lente évolution de l’impact humain où l’humanisation et la production de déchets et résidus s’alourdissent graduellement selon les rythmes de l’activité économique continentale. L’avènement de la modernité (1951- 1976) bouleverse le paysage agroforestier par de nombreux abandons agricoles. En plus d’une déprise rurale importante, l’intégration accélérée à la société consumériste amène une production accrue de déchets et résidus dont la gestion devient plus lourde. Enfin, si la période actuelle (1976-1999) voit une certaine stabilisation de l’habitat, la poursuite d’une économie de consommation alliée à la prise de conscience environnementale force une gestion plus serrée des déchets et résidus. Par l’utilisation de la CEE dans une perspective géohistorique de longue durée, cette recherche propose également à travers la variable des déchets et résidus une mesure originale de l’humanisation d’un territoire.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.008
GPT teacher head0.219
Teacher spread0.211 · 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
Published2005
Admission routes1
Has abstractyes

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