'The Nun' will have you taking a vow to stay away
Bibliographic record
Abstract
The door is open for a demon from the depths of Hell to test its spirituality among the living...and that's not good news for the living...or audiences. This is a Rivet Review of the new film, The Nun. The door is open for a demon from the depths of Hell to test its spirituality among the living...and that's not good news for the living...or audiences. This is a Rivet Review of the new film, The Nun...[[]]This summer has been missing one of those good old fashioned, R-Rated, blood and guts, sitting on the edge horror flicks......which is what I was hoping for in director Corin Hardy's The Nun.If you're a fan of the Conjuring movies...this one features Nun Valak, who made her evil debut in The Conjuring 2.Set in Romania in the 1950s...there was actually a pretty good and interesting set-up...but after that......it turns into an uninteresting series of cheap horror movie cliches topped with a healthy dose of religious images designed to scare...but don't.I'd say the acting was weak...but with a script as lame as this one is you can't expect much.If I had to come up with one highlight it was Jonas Bloquet as Frenchie......the charming French-Canadian farmer who brings a miracle-hunting priest and nun-in-training sent by the Vatican......to a scary and dimly lit abbey with a super-natural past.The Nun herself, pretty darn creepy...but like those who wield The Force...has apparently weird limitations on her powers...And for that, I give The Nun, one star out of five on the Rob Rating scale...take your vows to have "nun" of this...anyway, the real church is much scarier.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.027 |
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; both teacher heads agree on what is shown here.
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".