COVID-19 AND THE INTERNATIONAL BACCALAUREATE: A COMPUTER-ASSISTED DISCOURSE ANALYSIS OF #IBSCANDAL
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
Covid-19 has occasioned ongoing shifts in discourse as language changes to reflect and shape new stages of the global pandemic and different voices weigh in on topics, such as infectious diseases and vaccine efficacy. This study looks at an instance of this that relates to the ‘global education industry’, where cancellation of the International Baccalaureate’s May 2020 high stakes examination instigated a wide-ranging discussion about the organisation. This was triggered by the publication of IB results for 174,355 students in 146 countries, many of which showed large discrepancies between predicted and final grades. Using computer-assisted discourse analysis and a corpus of tweets containing the hashtag #ibscandal, patterns of language use are analysed, providing valuable new insights into the impact on students in different national contexts.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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