Where Have All the Aboiteaux Gone? Mapping Burried Historic Drainage Systems in New Brunswick, Canada
Notice bibliographique
Résumé
The provincial government of New Brunswick Canada has undertaken the task of rehabilitating historic agricultural marsh lands along the shores of the Petitcodiac River. Since this proposed undertaking will negatively impact shoreline indigenous soils, provincial regulations triggered an archaeological resources assessment. One component of the archaeological program conducted by AMEC was an EM31-SH survey of the proposed shoreline impact areas. Spatial reference was recorded using a Trimble AG114 Global Positioning System (GPS). The principal archaeological objective of the EM31-SH survey was to identify potential subsurface prehistoric and historic archaeological resources. Historically, since the 17th century, the shoreline marshes of the Petitcodiac River have been utilized for agricultural purposes; using a system of dykes (berms) and aboiteaux (drainage structures including oneway valves) that allow water to drain from the marsh while preventing river tidal waters from flooding the marsh. The construction of dykes and aboiteaux in the 1950s “eliminated” any preexisting historical structures. Thus, while there remains physical remnants of the mid-19th century drainage system, there is little surficial evidence of the preexisting historical systems, Identifying the locations of the both potential prehistoric and historic archaeological features using traditional archaeological testing methods would have been both expensive and time consuming given the large area. The use of the EM31-SH and with GIS data analysis, in addition to geotechnical testing and excavation monitoring (ground truthing) was proposed as an alternative. Four parallel transects were walked with the EM31-SH along the Petitcodiac River, covering the project impact area. The data were interpolated to produce raster data coverage's using Geosoft. In addition, two test areas with known subsurface historical structural features were surveyed to serve as a baseline. Spatial analysis utilizing GIS was performed to pick possible targets for further archaeological investigation. Various high pass filters were employed in an effort to sharpen possible features. In addition, various stretches were employed for better visualization of the data. The most effective for visualization was three standard deviations with a bilinear or cubic convolution resampling (for continuous data). The statistics used for display, stretch and resampling, were derived from the present display scale to provide better visualization at varying scales. This enabled the identification of localized anomalies at large scales that were not identifiable using the entirety of the data for representation. The initial ground truthing of a single segment with 12 targets resulted in the identification of two pre 19th century aboiteaux features (106–119 millisiemens per meter [mS/M] and 185–204 mS/M) and a 1950s era aboiteau feature (23–30 mS/M). The 1950s era aboiteau accounted for two adjacent targets. Each of the three features is distinguished by different EM signatures both in their range of return values and in their shape size and pattern of response.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».