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Record W4415763031 · doi:10.1080/13614541.2025.2575723

Riddle of Social Isolation in JK Rowling’s Harry Potter

2025· article· en· W4415763031 on OpenAlexaff
Sigrid Roman

Bibliographic record

VenueNew Review of Children s Literature and Librarianship · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHarry potterIsolation (microbiology)

Abstract

fetched live from OpenAlex

To examine what conceptualizations of isolation and loneliness are potentially internalized by readers, this article draws on the social isolation aspect found in the multidisciplinary work of Roelof Hortulanus, Anja Machielse, and Ludwien Meeuwesen. This article then deconstructs how social networks are portrayed in the Harry Potter novel series to shape the extent, nature, and divergent manifestations of loneliness (and vice versa). Special attention will be paid to the Harry Potter’s and Tom Riddle’s social networks before and during their formative years at Hogwarts School of Witchcraft and Wizardry and how these impacted their experiences of social isolation, loneliness, and eventual social development. The novels’ engagement with the theme of loneliness provides thought-provoking insights into the series’ commentary on the relationships between students and peers, students and teachers, and students’ internalization or rejection of the school climate. Through a careful examination of Rowling’s parallels between Harry Potter and Tom Riddle, the article argues that the author gives a complex, albeit sometimes dark portrayal of the potential of social networks that provides the reader with useful images and references to explore the theme of loneliness, and offers some important lessons on the importance of the school as a powerful locus for mediating alienation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0160.022
Scholarly communication0.0120.008
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.010
GPT teacher head0.231
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueNew Review of Children s Literature and LibrarianshipSame topicThemes in Literature AnalysisFrench-language works237,207