Enduring Effects: Name Mispronunciation and/or Change in Early School Experiences
Bibliographic record
Abstract
A person’s name(s) is typically tied to their family, culture, and sense of identity. Consequently, when a child’s name is inaccurately pronounced, altered, or avoided, a host of adverse consequences may transpire. Although seemingly innocuous, this necessitates attention, as name mispronunciation and change perpetuate microaggressions ubiquitous for marginalized populations, often in school contexts. In reflection of this, an Intrinsic Case Study, underpinned by a Social Constructivist Philosophical paradigm, was conducted to assemble the experiences of three adults in Ontario, Canada, who had their names mispronounced or changed in early educational experiences. The findings of this research signify that name mispronunciation and modification are pervasive and that teachers are often central contributors to this phenomenon. Moreover, findings denote that discord between one’s identity and cultural self is affiliated with name-orientated microaggressions. Participants of this study beseech teachers to denounce insensitive practices by pledging to accurately pronounce and honour each child’s name and in so doing engender more favourable longitudinal outcomes.
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 | 0.005 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".