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Record W6964203525 · doi:10.25316/ir-19229

Mapping Soil and Plant Communities: Shifting Western Culture’s Perspectives of Ecological Land Management

2023· article· en· W6964203525 on OpenAlexaboutno aff

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIndigenous Knowledge Systems and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsSeral communityLand managementLand useSustainable land managementSoil functionsSoil managementLand degradationSoil conservation

Abstract

fetched live from OpenAlex

Civilizations historically share a common trajectory of soil degradation through cyclical technological advancements and soil productivity. A living soil food web provides a holistic approach to eco-regenerative properties as an expression of the soil microbial community (SMC) in relationship to plants and other organisms. Acknowledging soil ecology’s identification of plant-SMC-plant signalling, this study’s mixed methodology addressed the question of how an eco-centred perspective of living soil and plant relationships can contribute to this understanding. Using quantitative field analysis, Cornus alternifolia was identified to curate a SMC at a lower than anticipated fungal:bacterial (F:B) ratio, across three different seral stages in a southwestern Ontario mixed deciduous forest. Qualitative interviews and analyses of three land management industry discussion groups, using Grounded Theory methodology, affirmed a variable understanding of a SMC-plant eco-context, and identified challenges and leverage potentials for industry eco-regeneration focused on land management and cultural changes, as well as ecology.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.168
Teacher spread0.159 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

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