Bibliographic record
Abstract
The purpose of this research is to understand the link between the acquisition of literacy skills and change in a Northern context. Furthermore, this research explores the perceived role that improved literacy plays in helping individuals make change. A literature review highlights the history of literacy in the community, First Nations and immigrant literacy, social implications of low literacy and community indicators. My research sample consisted of seven participants living in a northern community in British Columbia. The approach was qualitative and utilized an adapted photovoice method. The data was pre-coded, then analyzed using descriptive coding and finally pattern coding. The research findings revealed four themes: (1) continuous learning; (2) enhanced self-confidence; (3) increased opportunities; (4) connecting with self and others. The findings also showed that with improved literacy the participants were able to make positive, lasting changes in their personal and professional lives.
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 | 0.020 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.013 | 0.082 |
| Scholarly communication | 0.022 | 0.024 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.009 |
| 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".