Bibliographic record
Abstract
There is power in the written word. However, the power behind any idea requires the reader to be judicious in its meaning. When we read any literature—a poster, billboard advertisement, newspaper article, artwork, book or play— are we being unwittingly coerced by the author’s message? In fact, we may simply be absorbing someone else’s point of view with little insight on our part. Developing critical literacy skills in students from an early age is vital and should be every teacher’s goal. When students are taught how to evaluate a text in critical terms, they are empowered to consider and analyze the influences that are shaping their thoughts and ideas. Strong critical thinking skills enable students to question and challenge attitudes, values, and beliefs that are hidden below the surface as they read or listen to an author’s message. The challenge for teachers is to help students unlock its mystery, to understand the basic intent of an author’s message. As teachers, how do we provide students with the critical literacy skills to comprehend?
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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".