Questioning Standards of Evaluation in Educational Research: Do Educational Researchers Ventriloquize Learners’ Voices in L2 Education?
Bibliographic record
Abstract
Learners are not stakeholders in their own education. Adhering to the quantitative gold standard in English as a Second Language (ESL) deprives the learner from having a voice in their learning process. This paper addresses voicelessness and ventriloquism in ESL, ventriloquism referring to the act of voicing the thoughts of another person, in this case the system overriding the learners’ experiences. This article addresses this problem, aligning itself with the Platinum standard while challenging the quantitative gold standard in ESL research. This paper offers resonance and semantic reliability as evaluative measures in educational research taken from literary criticism. The notion of resonance has been addressed in the literature on qualitative research since the dawn of the narrative turn; I address how resonance can be used in educational research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".