Ohpikihâwasowin (grounding and guiding on the path to be a healthy parent): virtual adaptation of an Elders mentoring program to support maternal and child wellbeing during the COVID-19 pandemic
Bibliographic record
Abstract
BACKGROUND: The Elders Mentoring Program (EMP) is part of a strengths-based community-based participatory research partnership with the Cree communities of Maskwacîs, Alberta, Canada. The EMP objective is to promote maternal and child health through traditional Cree teachings and support from community Elders to pregnant women and their partners. During the COVID-19 pandemic, the Elders decided to shift the program to an online format in early 2021. The Elders continued to offer mentorship to program participants virtually by Zoom and telephone, and online workshops. The objective of this study was to qualitatively explore the experiences of women that took part in the virtual EMP. METHODS: We utilized qualitative description as our method, informed by our overarching community-led research partnership. Semi-structured phone interviews were conducted by Maskwacîs research assistants (RAs) with 11 women who participated in the virtual program. Interviews were conducted between December 2021 and June 2022. The participants were asked about their perceptions of the program and its benefits. The interviews were recorded, transcribed, and coded by four RAs using thematic analysis. RESULTS: Although cultural teachings are traditionally offered in person, the shift to the virtual platform was greatly appreciated by all the women. Technology can be a useful tool for cultural teachings and language to be shared among community members when they cannot be physically together. Four main themes emerged from the data, representing the participants' experiences, and learning through their interactions with the Elders from the EMP. The themes are: Ohpikihâwasowin (grounding and guiding on the path to be a healthy parent); Indigenous ways of healing; On the path of cultural learning; and Identity for self and baby. CONCLUSION: The virtual adaptation of the EMP allowed a space for Elders to offer support to women living in and out of the community to provide guidance with their pregnancies and into motherhood. The workshops and one-on-one calls allowed for cultural revitalization which is critical for Indigenous well-being. All the participants found that the teachings and interactions positively impacted their pregnancy and parenthood. Overall, the virtual program demonstrated a venue for intergenerational healing and resilience.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".