<i>Writing worlds</i>: Exploring mentorship approaches supporting adolescents' authentic writing across a Canadian youth centre's programmes
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
Abstract In its diverse forms, authentic writing carries the potential to connect literacy practice to an author's ‘real world’. While contemporary approaches to authentic writing instruction—advocating writer‐centred, intertextual and culturally relevant productions—are most often explored in formal learning contexts like classrooms, this paper seeks to amplify the mentorship strategies employed within an informal youth centre learning space in Montreal, Canada. The following research questions have guided this work: (1) How do adult mentors leverage authentic writing principles to support adolescents' participation within two writing‐based programmes developed in a youth centre context? (2) How do the interests, perspectives and backgrounds of adult mentors shape the mentorship strategies they choose to employ? Data collected and analysed through participant‐focused ethnographic approaches assist the author in revealing how adult writing mentors draw from their own cultural, linguistic and embodied experiences to foster interest‐driven, culturally sustaining and community‐based writing opportunities for adolescents. The four key mentorship themes emerging through this research—centring the essential role of writing journeys , identities and communities while acknowledging several barriers to authentic writing—advocate drawing from the rich literacy practices thriving within informal contexts to inform contemporary writing curricula.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| 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