Development of a Cultural Connectedness Scale for First Nations youth.
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
Despite a growing recognition of cultural connectedness as an important protective factor for First Nations (FN) peoples' health, there remains a clear need for a conceptual model that organizes, explains, and leads to an understanding of the resiliency mechanisms underlying this concept for FN youth. The current study involved the development of the Cultural Connectedness Scale (CCS) to identify a new scale of cultural connectedness. A sample of 319 FN, Métis, and Inuit youths enrolled in Grades 8-12 from reserve and urban areas in Saskatchewan and Southwestern Ontario, Canada, participated in the current study. A combination of rational expert judgments and empirical data were used to refine the pool of items to a set that is a representative sample of the indicators of the cultural connectedness construct. Exploratory factor analysis (EFA) was used to examine the latent structure of the cultural connectedness items, and a confirmatory factor analysis was used to test the fit of a more parsimonious version of the final EFA model. The resulting 29-item inventory consisted of 3 dimensions: identity, traditions, and spirituality. Criterion validity was demonstrated with cultural connectedness dimensions correlating well with other youth well-being indicators. The conceptualization and operationalization of the cultural connectedness has a number of potential applications both for research and prevention. This study provides an orienting framework that guides measurement of cultural connectedness that researchers need to further explore the role of culture in enhancing resiliency and well-being among FN youth in Canada.
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.
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 | 0.001 | 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 | 0.002 | 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) | 0.000 | 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