Who Speaks for International Education? An Ontario Case Study
Bibliographic record
Abstract
International education (IE) is a multi-sector, multi-actor, and multi-context phenomenon that increasingly engages and mobilizes diverse policy discourses. The literature on media and educational policies has highlighted the media’s role in leading and framing public opinions, setting political agendas, and shaping policy processes through the choice, timing, and framing of stories/news (Saraisky 2015; Stack 2007). This chapter investigates the media’s role in “reorder[ing] the political landscape,” “framing policies in terms of conflict,” and influencing “how politics is conducted” (Hajer 2009, 5). It presents findings of a qualitative case study investigating the (re)construction of IE as a post-secondary education (PSE) policy issue in Ontario in print media from 2005 to mid-2017. Using Hajer’s (1995) Discourse Coalition Framework (DCF), the study attempted to answer the following questions: What are the dominant and less dominant “storylines” that shape the media’s construction of IE in Ontario? What are the power dynamics between them? Who are the discourse coalition members that mobilize these storylines?
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".