En’owkin Centre Breastfeeding Art Expo
Bibliographic record
Abstract
A unique Indigenous-focused Art Expo on the topic of breastfeeding was held at En’owkin Centre at Penticton Indian Band in October and November 2017. The En’owkin Centre is a nationally recognized Indigenous arts and training centre. This review highlights some of the art from the En’owkin Indigenous Expo including six of the Community Art Projects and three Independent Art pieces. The En’owkin Breastfeeding Art Expo was part of a larger Expo (2017-2018) that is a joint partnership with Interior Health and the non-profit social service organization KCR-Community Resources; it was funded by five organizations. With 35 community partners, the project was led by a ten-member steering committee that including two Indigenous members. The Expo offered a full-colour Art Catalogue and a Teacher’s Guide. The larger Expo travelled to six locations in the Interior of British Columbia, and included 15 large community art projects and 65 independent artworks by citizens of central British Columbia, as well as 20 short videos that tell the significant art and health stories. Art is recognized as an important tool for Indigenous people for health and healing. This Expo was an opportunity to celebrate community, art, and breastfeeding. The goals of the Expo were multi-faceted, namely, to increase awareness of the benefits of breastfeeding, to encourage new ways of thinking about health through art, and to support work towards establishing better care for women to breastfeed in the hospital and community.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.197 | 0.025 |
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".