"The Sky’s the Limit": On the Impossible Promise of E-learning in the Toronto District School Board
Bibliographic record
Abstract
Under the banner “The Sky’s the Limit,” electronically delivered instruction (e-learning) in the Toronto District School Board (TDSB) emerged as an approach that promised expanded opportunities for students to prepare for a competitive, globalized, and networked economy. In contrast, this year-long ethnographic study on e-learning in secondary day school programs in the TDSB reveals intensified inequalities that map geographically in areas divided by class and race, serving students in schools with greater learning opportunities. By this, I refer to the concentration of e-learning students in schools that are ranked highly on the TDSB’s Learning Opportunity Index (LOI). I also show how the TDSB leverages e-learning to facilitate private–public partnership with Canadian International School (CIS), Vietnam. It is a program that accredits Vietnamese students with an Ontario Secondary School Diploma so that they better qualify for university programs abroad. In the context of these results, I argue that that the promise made by e-learning is impossible to fulfil because it is a technology that reinforces merit-based schooling systems that tend to reproduce social and cultural hierarchy. Social scientists working on educational issues have long identified how inequality is spatialized, particularly as a dynamic of exclusionary processes and inclusionary activities that reproduce hierarchies. These hierarchies condition student identity and perpetuate systems of disadvantage and violence wrought by settler colonialism, anti-Black racism, gender discrimination, and conceptions of disability within a global capitalist economy. Systems, however, are not static. Systems can be contested. While emphasizing the institutional nature of oppression, I hold schooling systems in tension with the insights of students, whose desire for a more inclusive society produces the force that makes progress possible. It is the responsibility of public education to realize this desire, for the benefit of all students. In a time of deepening cuts, education faces a crisis manufactured by social divestment, rising income inequality, and entrenchment of cultural hierarchies that discredit diversity as a value that can produce structural transformation and social justice. As an integral part of communities, schools must harness the power of people, rather than technology, to respond to this crisis.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".