Towards a SpatioTemporal Data Model for Traditional Ecological Knowledge/Indigenous Knowledge
Bibliographic record
Abstract
Indigenous peoples have been making maps and utilizing GIS for some time, and have been mapped and cadastralized for some time as well. Models of Indigenous spatiality have been the topic of some work, but the data for modelling Indigenous spatiotemporality remain scant, and the subject matter is rich. This paper suggests another layer of representation for GIS when dealing with complex data with a strong relational and qualitative component. In this paper, we present a new data model that we are calling the spatiotemporal motif. It is an open data model incorporating choric (coordinate) as well as topic (attribute) space and chronic (coordinate) as well as kairic (attribute) time. The model aims to fill gaps in other data model depictions concerning lack of support for cyclical time, multiple constraints on what constitutes a proper time or place for a given activity, fluid and dynamic spatiotemporal boundaries, support for narratives and contingencies, and privacy and sensitivity concerns.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".