MétaCan
Menu
Back to cohort
Record W7123420602 · doi:10.14339/sto-avt-394-5

Comprehensive Assessment of Environmental Impact: Disposal of Perchlorate Containing Munitions at the Canadian Munitions Logistical Disposal Site

2025· article· W7123420602 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNATO Journal of Science and Technology · 2025
Typearticle
Language
FieldEnvironmental Science
TopicChemical Analysis and Environmental Impact
Canadian institutionsInstitut National de la Recherche ScientifiqueCanadian Armed Forces
Fundersnot available
KeywordsContaminationContaminated landGroundwater pollutionWork (physics)Environmental impact assessmentPerchlorateRisk assessmentPollution

Abstract

fetched live from OpenAlex

The contamination footprint from munition disposal sites will be dependent on the type and quantity of munitions requiring disposal, and the available disposal methods. The discovery of a groundwater perchlorate plume at the Canadian munition logistical disposal site led to a 3-year investigation into the disposal activities of perchlorate containing munitions and the associated contamination footprint on various media. More specifically, this investigation included a comprehensive study of cumulative soil and groundwater contamination coupled with air emission measurements. The assessment included adapting soil sampling techniques to a post-disposal context, enabling a more precise assessment of impact. Furthermore, various disposal methods were tested to understand their respective contributions to the contamination footprint. This work extended to the evaluation of air emissions to identify disposal limits essential for meeting provincial air quality standards. Our analysis facilitated the formulation of an effective management strategy to mitigate airborne contamination risks and associated impacts to human health. The evaluation of perchlorate inputs into groundwater was paramount in understanding cumulative impacts and devising long-term management strategies for the site. Insights gained from this assessment provided crucial data for anticipating the trajectory of contaminant migration and implementing proactive management measures. Although the evaluation was a comprehensive effort to understand the contamination impact of disposing perchlorate containing munitions, future work should include the evaluation of novel munitions particularly emerging contaminants such as energetics in insensitive munitions. Adding this assessment and integrating results into future strategies is useful for futureproofing the contamination footprint. This holistic evaluation shows the complexity of managing and forecasting environmental contamination at logistical disposal sites. The integration of diverse methodologies and models offers a robust framework for safeguarding environmental health and fostering sustainable management practices in the face of evolving challenges.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.023
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.299
Teacher spread0.285 · 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