Weaponizing gender: the role of grammatical gender shifts in hate speech
Bibliographic record
Abstract
In languages that categorize nouns as belonging to distinct ‘grammatical genders’, moving an expression from one class to another implies changes to its status, and is often interpreted as derogatory. In Polish, shifting nouns with human referents from one category to another is usually perceived as having a “downward” orientation. It can therefore be used as one of the means of verbal aggression, especially name calling. Polish, with its gender sensitive morphology, has an array of gender shifting suffixes (cf. Swan, 2015; McConnellGinet, 2014). E.g. the word baba (feminine) is a crude though not vulgar reference to a woman – either one that is rude (e.g. okropna baba – ‘an awful woman’) or a peasant woman (baba ze wsi – ‘a country woman’). It can be shifted to babsko (neuter) or babsztyl (masculine) with progressively negative connotations. A compound baba-chłop (‘woman-man’, a masculine looking woman) is used for name calling towards transgender people. Transgender persons are also rudely referred to as ono (neuter) instead of on (masculine), ona (feminine), or a different preferred pronoun. A neuter pronoun used to refer to a person is not a neutral form of reference and is meant as a hurtful instrument of hate speech. A shift in animacy in order to diminish someone’s position involves the use of inanimate objects with lexicalized negative connotations to refer to people. As all Polish nouns are gendered, such nouns often agree in gender with the perceived sex of the referent, although this is not a rule. Thus, words such as szmata(‘rag’ fem. –derogatory, with reference to morality) are mostly used about women and burak (‘beetroot’ masc., implying lacking intelligence), mostly about men. If used across natural gender lines, the negative connotations become stronger (as in e.g. Szydło to jednak burak, ‘Szydło is indeed a beetroot’ used about former female Prime Minister Beata Szydło). In this paper, we analyse a corpus of Polish newspaper articles online and readers’ comments, as well as the Polish language corpora (unfortunately lagging significantly behind and not reflecting language changes). We analyse the frequency of the gender shifting suffixes and the nouns they attached to, looking at their collocations to identify semantic effects of gender shift. The results confirm the dramatic increase of verbal violence in Polish public discourse. Grammatical gender shift is not a new phenomenon but this seemingly innocent linguistic mechanism triggers immediate, even if unconscious negative associations, sometimes acting as dog whistles. As the current Polish government is engaged in a propaganda campaign against the LGBTQ community, the use of grammatical gender as a tool for hate speech and discrimination deserves some urgent attention. McConnell-Ginet, S. (2014). “Gender and its relation to sex: The myth of ‘natural’ gender.” In Corbett, G.G. (ed.) The Expression of Gender. Berlin/Boston: Walter de Gruyter. 3-38. Stroińska, M., G. Drzazga & K. Kurowska (2014). “Translating Grammatical Gender: Current Challenges.” Studia o Przekładzie. Warszawa. 175-190. Swan, O. (2015). “Polish gender, subgender, and quasi gender.” Journal of Slavic Linguistics. Vol. 23.1. 83-122.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".