Improving agricultural productivity of podzolic soils in Schefferville using local amendments and fertilizers
Bibliographic record
Abstract
The Indigenous communities of Matimekush (Innu) and Kawawachikamach (Naskapi), in Schefferville, northern Quebec, have limited access to fertile soils and agricultural inputs. Therefore, horticultural materials must be imported leading to high costs and significant environmental impacts. This study aimed to enhance the fertility of Podzolic soils in the northern Quebec Taiga using locally sourced fertilizers and amendments. Two types of humus were tested: Mor-type humus (pH 3.59; C/N ratio 49.5) collected near Matimekush and Mull-type humus (pH 5.0; C/N ratio 17.1) collected in Kawawachikamach. Two local rocks were identified as potential basic mineral amendments: a dolomitic rock (pH 8.6) and a sedimentary rock (pH 7.5), both sourced near Matimekush. Furthermore, a compost (N-P-K: 3-1-3; C/N ratio 10.4) produced from plant-based food waste and green alder ( Alnus Viridis ssp. Crispa) was tested alongside a mineral fertilizer with an equivalent nutrient profile. Greenhouse experiments were conducted to assess the agronomic performance of these materials using carrot and radish cultivation as bioassays. The results demonstrated that the local dolomitic rock exhibited a liming capacity comparable to commercial lime, whereas the sedimentary rock was ineffective. Mull-type humus produced carrot and radish yields equivalent to those obtained with commercial sphagnum peat (pH 3.7; C/N 37.3) without requiring pH adjustment. Organic fertilization significantly increased yields, supporting the agronomic value of the locally produced compost. These results highlight the potential of utilizing local substrates to improve Podzolic soil fertility and promote sustainable agriculture, representing a first step toward the establishment of agricultural practices in the region.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".