The solidarity experience of Lnu’k Ktaqmkukewaq participating in a social networking Group
Bibliographic record
Abstract
Lnu’k Ktaqmkukewaq (Indigenous Newfoundlanders) face extraordinary challenges, resulting from an extensive period of assimilationist federal, provincial and colonial policy. This qualitative, phenomenological study seeks to examine how Lnu’k Ktaqmkukewaq participating in a social network group experience solidarity. Email interviews were conducted with four study participants. Data from the researcher’s experience as a participant in the social networking group was also included. Results demonstrate that social networking can provide ways for Lnu’k Ktaqmkukewaq to build solidarity by being a source of information sharing and support. Social networking is limited, however, in its ability to build spiritual solidarity. The existence of a collective Lnu identity was evident in the data, and appears to be a yet untapped basis for building solidarity. Recommendations are made as to how social networking can be optimally used for solidarity development and social work practice with Lnu’k Ktaqmkukewaq, and other Indigenous groups.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".