Research
The research collected here reflects a progression in focus rather than a single method. It began with Fought Disorder, which used creative non-fiction to produce a high-fidelity representation of psychosis from lived experience. This work informed later doctoral research in psycholinguistics, drawing on experimental linguistics and corpus analysis to identify breakdown in language at cognitive, comprehension, and production levels.
Subsequent projects extend this trajectory into interaction, examining how meaning is negotiated, strained, or redistributed across speakers rather than located within individuals alone.
Entries are listed in reverse chronological order. Each includes a plain-language summary intended to clarify scope, method, and limits rather than to promote findings.
Delgaram-Nejad, O. (2026). Preprint / monograph manuscript.
This long-form work develops an interpretive account of schizophrenia centred on language rather than symptoms or structures alone. Drawing on interview transcripts, linguistic analysis, and first-person reflection, it explores how meaning is maintained, strained, or reorganised in psychosis. The work is analytical rather than clinical.
Delgaram-Nejad, O. (2025). Independent computational text analysis (preprint).
An exploratory study using large language models as analytical tools to examine how credibility, authority, and stylistic markers appear in different kinds of text. The focus is on linguistic patterning rather than belief, doctrine, or truth evaluation.
Delgaram-Nejad, O. (2024). Preprint.
Proposes a linguistically informed framework for describing formal thought disorder that prioritises observable language features over diagnostic abstraction. Intended as a descriptive and analytical tool, not a diagnostic system.
Delgaram-Nejad, O. (2024–2025). Preprint.
Examines linguistic creativity in the speech of people diagnosed with schizophrenia using corpus methods, focusing on association, metaphor, and semantic novelty.
Delgaram-Nejad, O. (2025).
A hybrid scholarly and narrative account examining experiential changes following discontinuation of long-term antipsychotic medication, focusing on affect, perception, and language over time.
Delgaram-Nejad, O. (2025).
Examines media portrayals of schizophrenia, with attention to narrative framing, language choice, and ethical implications.
Delgaram-Nejad, O. (2025).
Explores how hallucinated experiences are described and interpreted through language, focusing on selfhood and phenomenology.
Delgaram-Nejad, O. (2024).
Investigates how linguistic creativity and formal thought disorder can co-occur, challenging purely deficit-based models through analysis of natural speech data.
Delgaram-Nejad, O.; Archer, D.; Chatzidamianos, G. (2024). Journal of Psycholinguistic Research.
Compares how fears and imaginative elaborations are expressed in psychotic speech, showing structured patterning even when shared reality is disrupted.
Delgaram-Nejad, O.; Archer, D.; Chatzidamianos, G.; Robinson, L.; Bartha, A. (2023). Applied Corpus Linguistics.
Introduces the DAIS-C corpus, detailing its design, governance, and ethical constraints, and clarifying its intended research uses.
Delgaram-Nejad, O.; Chatzidamianos, G.; Archer, D.; Bartha, A.; Robinson, L. (2022). Applied Corpus Linguistics.
Explains how linguistic stimuli can be normed for clinical research when standard approaches are impractical or unethical.
Delgaram-Nejad, O.; Chatzidamianos, G.; Archer, D. (2021). Mental Health Review Journal.
Examines insight as a linguistic and relational phenomenon that can complicate diagnosis and treatment.
Archer, D.; Delgaram-Nejad, O. (2020). Applied Linguistics Review.
Argues that linguistic creativity and disorder are not opposites, emphasising close linguistic analysis over symptom-based interpretation.
Delgaram-Nejad, O. UK Data Service.
An open-access corpus of spoken language from people diagnosed with schizophrenia and non-clinical participants, intended for research and teaching rather than diagnosis.
Delgaram-Nejad, O. UK Data Service.
Supplementary datasets extending the DAIS-C approach under strict ethical governance.
Delgaram-Nejad, O. (2022).
A reflective chapter on dialogic feedback in research and learning contexts.
Delgaram-Nejad, O. (2018).
Early work analysing parliamentary language data, illustrating interests in discourse, structure, and institutional communication.
This bibliography is maintained as a living document and reflects research outputs currently listed on ResearchGate.