Cloud computing and adult literacy: How cloud computing can sustain the promise of adult learning
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
Adult literacy in Canada consists of a patchwork of large and small adult \neducation providers: many of them are autonomous community societies, \nsome are school boards, and others are community college based, as well \nas a range of independent community-based groups. Funding for adult \nliteracy comes from several pockets: from different provincial and/or federal \ngovernment departments and from charitable organizations. Much of \nthe federal funding is short term in response to shifting government priorities. \nIndeed, Crooks et al. [1] suggest that the ongoing funding search, \nwith the attendant application and reporting activities, detracts from the \nability to provide more effectively planned and sustainable adult education \nprograms. A major challenge for adult literacy providers is that while their \nclient base has significant human and economic potential, low-literacy \nadults are not perceived as large contributors to the economy, and thus, \nmuch of the funding is intermittent—from project to project.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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