The “Murray Look”: Trauma as Family Legacy in L.M. Montgomery’s Emily of New Moon Trilogy
Bibliographic record
Abstract
In lieu of an abstract, here is an excerpt from this article: When taken in by the Murray family after her father’s death, the title heroine of L.M. Montgomery’s Emily of New Moon discovers that she is heir to an impressive family lineage in which the Murrays take great pride; but the proud ancestors, now at rest in the New Moon cemetery, were no models of peace and harmony when living. Their disputes pitted husband against wife and father against daughter in battles of formative significance to the living characters. When the authoritarian Aunt Elizabeth tries to cut Emily’s hair, Emily’s defiance is heightened, almost supernaturally, by her use of the intimidating “Murray look,” an inheritance from her grandfather (Elizabeth’s father), Archibald Murray. Cowed by Emily’s uncanny channelling of this patriarchal authority, Elizabeth gives up on the haircut, but she takes her revenge later on by locking Emily in the terrifying spare room, home to Archibald’s menacing portrait.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.042 | 0.028 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".