Bibliographic record
Abstract
In understanding how the human mind works and how to heal and guide those who have been labelled and even classified as disabled is where I come in as a Mohawk social worker. I apply a two-eyed-seeing approach to my community healing, one eye for the colonial approach because many members reside off-reserve in the city of Montreal, whereas the other eye is Indigenous from the perspective of traditional knowledge systems and healing approaches through the Longhouse. As a social worker, I have had the privilege to work with Mohawk and non-Indigenous service providers to help community members who reside on and off-reserve. I have applied both colonial and Mohawk teachings to bridge this divide in providing a multitude of social services. Using both Longhouse and colonial teaching approaches has given me the ability to connect on a spiritual, social, cultural, and personal level in providing guidance. Mohawk teachings on people who are or seem to be disabled, provide an enriching experience by diving into traditional knowledge and looking into the past when moving forward in judgement and guidance. How we see ourselves is how we can understand ourselves and this is the motto I follow.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".