Bibliographic record
Abstract
Language is not neutral or used in a vacuum; language is one of the most powerful tools we have as humans that incorporates personal assumptions, social norms, and cultural ideologies. It is therefore important to consider language critically and to watch for biases in usage. Language reflects the world it is used in, but it is also active in maintaining or redesigning that world. It can be a tool of discrimination or of empowerment. We can use it to foster discrimination, unintentionally or otherwise, or we can use it to help make a fairer world [1]. Words have the power to affect our personhood, our identity, our attitudes, and our images about others. The power of language to affect our identity and behaviour was realized by oppressed groups in the 20th Century. Language is an important part of socialization - it plays a crucial part in the process whereby people learn the behaviours and values of a particular group or culture [2]. Historically, language has left many out. Individuals and groups have been marginalized and discriminated against because of their culture, race, ethnicity, gender, sexual orientation, age, disability, socioeconomic status, appearance, and more. Inclusive language seeks to treat all people with respect, dignity, and impartiality. It is constructed to bring everyone into the group and exclude no one. It is suggested that the basis of communication is not what is said, but how the words are heard. Language framed by derogatory names and symbols can have implications for people and their life experiences [3]. Making changes to use more inclusive language offers us a chance to grow and become better communicators who care for those we are communicating with [4]. This short article is meant to review the concept of political correctness and inclusive language and raise awareness for students and teachers to discriminatory terms that can be easily replaced with clearer and less-offensive alternatives. This topic has been vastly discussed in social sciences and a great number of theories and articles have shed light on the importance of this topic. The goal of this paper is to communicate these ideas to a larger audience including educators in applied sciences including Science, Technology, Engineering and Math (STEM).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.023 | 0.046 |
| Scholarly communication | 0.036 | 0.021 |
| Open science | 0.004 | 0.051 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".