Gender Positioning in Education: A Critical Image Analysis of ESL Texts
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
This article is adapted from a project report prepared for the author's MA in Education, the objective being to report the use of an adapted analytical technique for examining the images contained in contemporary ESL textbooks. The point of departure for the study was the identification of the trend in mass-market ESL materials from textual to visual communication, a trend discussed in the text. Together with this semantic shift, a political-economic agenda has been identified in the existence of organizations such as the British Council; the objective of the analysis was to discover whether the increasingly predominant images used in ESL texts convey a particular vision of and/or positioning of gender reality as part ofa wider-reaching agenda. The article provides background to the evolution of critical image analysis, followed by a rationale for the project based on the current realities of the global ESL market. There follows an outline of the data selected for analysis and the results of the image interrogation. The article concludes with a brief discussion of the ramifications of the study and the potential for further research work.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.057 | 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