Use of Children’s Popular Culture in Literacy Curricula: An Analysis of the Papers by Parry (2002) and Dickie and Shuker (2014) through the Lenses of “No Research Can Be Value-Laden”
Bibliographic record
Abstract
This paper focuses on the importance of children’s out-of-school experiences as their popular culture and discusses how such experiences contribute to their creativity and critical thinking. In addition to this, the paper also discusses the critical role of researchers’ values in terms of how values affect the design and process of research. From this standpoint, it analyses two research articles, namely as: “Popular culture, participation and progression in the literacy classroom”, by Parry (2014), and “Ben 10, superheroes and princesses: primary teachers’ views of popular culture and school literacy”, by Dickie and Shuker (2014). Throughout the analysis, the paper discusses how the values of the authors’ of these papers affected their selection of the research topics, as well as the process of research, by bringing out the importance of critical literacy in pre-school 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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".