Story as Community - Life-wide Literacy to Transform Learning Loss and Isolation to Community Literacy and Joy
Bibliographic record
Abstract
The pandemic laid bare: all homes aren’t equitable learning spaces. Yet, education has long considered the family and home an extension of learning. // As a liberatory act, education must consider responsive, resilient practices for equity. // If education considers the family and home as an essential learning space, a continuation of the learning experience, the inequities must be addressed. In fact, Ulrike Hanemann (2015) argues for systemic change in the attitudes of societies to support learning as a life-wide process, disrupting the idea that it is merely a classroom-based endeavor, and expanding it to include literacy learning, in particular, as situated in social practice and understood as a continuum of learning. Hanemann advocates the development of ‘literate families,’ ‘literate communities,’ and ‘literate societies.' // Yet, currently, this assumption is essentially inequitable. Arguably, it is not just literacy learning, but learning in general which must be situated equitably within society-at-large. // For the past decade, Niteo’s work (www.niteo.org) has almost exclusively focused on our global literacy equity, but now we also turn to address Covid-19’s impact on local literacy in Canada. // There are many challenges to SDG4 and literacy in Canada. Pre-pandemic, Canadian Children’s Literacy Foundation’s statistics reported one out of eight students below the age of 15 and a quarter of early readers in Canada were not reading at grade level. For newcomers to Canada, the average literacy gap is equal to 3.5 years of schooling. This is not limited to newly-arrived newcomers, as established immigrants (10+ years in Canada) have a similar gap. Now, compounding this reality for newcomers is the impact of Covid - slowed academic progress, isolation, and loneliness. // We have learned much from our East African partners and can mirror their community literacy work here. // In a 2022 pilot, local newcomer families nominated by educators or NGOs, paired with UBC-O students, undertook an interest-based, intergenerational exploration of literacy learning in the spirit of play. Literacy access and equity were addressed by utilizing the resources of libraries to inspire the joy of reading. Activities together were built around Niteo’s two open education resources, When We Give Children Books and MicroCredential: Leadership in Literacy. The objective was to cultivate joyously literate communities through a focus on family-wide literacy habits to promote lifelong learning. // As a pathway to resilience and the delivery of a life-wide learning experience, this paper focuses on the Niteo pilot project "Story as Community" and its implications.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.019 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".