Identity-related language occurs in both self-referential discussion and speech aboiut other groups, complicating toxicity detection. We ask whether an automatically inferred linguistic-perspective signal is useful as an auxiliary traiing objective. A regex and zero-shot NLI pipeline lables comments as SELF or OTHER; these are noisy linguistic proxies, not verified speak indetities. On Jigsaw Unintended Bias, we fine-tune a Toxic-BERT model with toxicity and proxy labels heads and compare it with a matched control whose perspective-loss weight is zero. The auxiliary objective gives a small descriptive mean ROC-AUC increase but lower mean accuracy. On decontaminated CivilComments-WILDS, ROC-AUC is 0.9346 while worst group accuracy is 0.5805. The main contribution is a leakage-controlled, matced evaluation showing that the full fine-tuning recipe improves toxic class F1 and ranking substantially, where as the automatic perspective proxy provides only limited additional benefit.