Creating a Culturally Relevant Environmental Management System for a Métis Workplace
Bibliographic record
Abstract
Creating an Environmental Management System (EMS) at the Manitoba MétisFederation's (MMF) Home Office provides an excellent oppo(unity to incorporate the unique Métis environmental worldview into its operations.The MMF is the self- government representative of the Manitoba Métis Community and their Home Office is iocated at 150 Henry Avenue in Winnipeg, Manitoba.This research was carried out as participatory action research involving the MMF and its employees to design an EMS for their Home Off,rce.An environmental survey and a focus group were conducted to help determine the unique elements of a Métis approach.The MMF's action plan and EMS were developed qualitatively from discussions with employees and management considering cultural relevance and their understanding of what was feasible in the organization.It was evident from the participatory research that employees and management of the Home Office strongly feel that the MMF has a responsibility to address its environmental impacts and are willing to participate in the design of their EMS.Contrasting the quantitatively rated environmental aspects with the results from the participatory research demonstrated the difference between what is quantitatively rated as feasible for the organization with what is preferred by the MMF employees.Replacing the heating system and windows were rated as moderate for feasibility but were tied as the most significant aspects participants would like addressed at the MMF Home Office.To accommodate for the differing priorities, an EMS should strive to meld both the feasibility rating and employee priorities into the plan.Certain actions, including replacing the heating system, and windows may be too expensive for the first year of the EMS but may become more feasible as the organization implements other actions to reduce their operating costs.Composting Council of Canada.(n.d.).Compost!The Natural Way to Recycle.
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 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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".