Reconciling Institutional Logics Within First Nations Forestry-Based Social Enterprises
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.
Bibliographic record
Abstract
The institutional frameworks that Indigenous groups put in place to govern economic processes within their communities are critical to the advancement of their diverse cultural-ecological, social, and economic development goals. Through the lens of institutional logics, this article examines the ways in which First Nations community sawmill enterprises in British Columbia, Canada, navigate the sectoral demands brought by a productivist paradigm of forestry. We find that First Nations community sawmill enterprises represent spaces of both logical tension and innovation where conflicts that arise between dominant “commercial” logics and culturally legitimate “Indigenous” logics can be reconciled. Through this analysis, this article offers an empirical example of the emergence of Indigenous institutional frameworks, as well as a contribution to the growing body of literature that addresses the ways in which hybrid organizations can and do navigate and overcome conflicting institutional logics.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it