Bibliographic record
Abstract
In January 2019, the documentary Leaving Neverland (LN), directed by Dan Reed, premiered at Sundance film festival.Since then, it has been aired on television worldwide.At its core the four-hour documentary relies on the stories of two men, as told in interviews.Wade Robson and James Safechuck, who both were friends with super star Michael Jackson (MJ) when they were children, relate the detailed and complex stories of their sexual exploitation by him.Among other locations, they say it took place on the Neverland Ranch, MJ's private amusement park, to which he invited children, some of them he befriended, patronized, and had close relationships with.LN shows many aerial long shots of the ranch, visiting and revisiting the place, as Robson and Safechuck's memories unfold, describing the estate as beautiful, best playground a kid could wish for, and as site of their sexualized exploitation by MJ. 'Neverland' refers to the play of Peter Pan (by J.M. Barrie, 2015 [1904]), famously animated by Walt Disney in 1953.It is a story about a boy who never grows up, can fly and with his little boy friends ("the lost boys") experiences adventures at the fairytale island Neverland.MJ publicly identified with Peter Pan, and used the figure to explain his unconventional, allegedly pedocriminal, relationship to children. 1 In the documentary Living with Michael Jackson from 2003, Martin Bashir interviews the star on his relationship with boys.In one interviewscene at the Neverland Ranch, MJ sits on a sofa holding hands with 12-year-old Gavin Arvizo, who later accused him of sexualized abuse. 2 In reaction to Bashir's question, if it were appropriate for a 44-year-old man to be share his bed with children, Gavin eagerly argues, MJ were not 44, but actually four years old, "a child at heart," a man who didn't grow up (Living With Michael Jackson: A Tonight Special (Shaw 2003, TC: 01:13:10)).LN, too, over more than a decade later, questions MJ's relationship to children, yet director Reed does not interview the now
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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 | 0.057 | 0.229 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.012 | 0.055 |
| Scholarly communication | 0.021 | 0.036 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.015 | 0.013 |
| Insufficient payload (model declined to judge) | 0.038 | 0.006 |
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".