Language Teacher Identity and the Domestication of Dissent: An Exploratory Account
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
In this article, the notion of dissent refers to a more critical, ideological orientation to advocacy for and by TESOL professionals. The notion of domestication refers to identity‐forming practices in the knowledge base of language teacher education ( LTE ) and in professional certification processes that potentially displace this critical orientation. After a discussion of field‐internal examples (e.g., epistemic dependencies, Kumaravadivelu, 2012; linguistics applied, Widdowson, 1980; language objectification, Reagan, 2004), the article takes up a specific context of domestication : TESL Ontario's accreditation processes and requirements for the certification of adult instructors of ESL (English as a second language). Examining organizational documents and membership survey data, the article suggests that the framing of advocacy is inadequate for the conditions of underemployment and overqualification in this jurisdiction. The article then suggests an alternative for fostering critical advocacy skills in preservice programming: an Issues Analysis Project , in which teachers identify a “gap” in the field (i.e., pedagogical, ideological) and design a blueprint for action (e.g., advocacy letter, policy statement, workshop, curricular innovation) that potentially offers a resolution. The conclusions take up the broader implications of the study for language teacher identity negotiation as well as the TESOL organization's efforts in promoting advocacy amongst its membership.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it