This Dark Endeavour: The Apprenticeship of Victor Frankenstein by K. Oppel
Bibliographic record
Abstract
Oppel, Kenneth. This Dark Endeavour: The Apprenticeship of Victor Frankenstein. Toronto: Harper Collins, 2011. Print. Victor has always felt less than worthy compared to his twin brother, Konrad, who is the better swordsman, the more gracious gentleman, and the beloved of their cousin Elizabeth, whom they both love dearly. Yet when Konrad falls mysteriously and deathly ill, Victor’s love for his brother encourages him to follow a dangerous quest. Victor is a passionate, if somewhat arrogant, protagonist, who is at times unlikeable, yet strangely alluring. Victor has recently stumbled upon the hidden Dark Library in the family’s chateau, a library filled with ancient scientific works by such legendary alchemists as Paracelsus and Agrippa. In direct violation of his father’s orders, Victor wishes to create the Elixir of Life that he believes will save his brother. He, Elizabeth, and their family friend, Henry, seek the help of local alchemist and outcast, Julius Polidori, whose apothecary shop is coincidentally located in Wollstonecraft Alley. Polidori promises to translate the ancient texts and instruct Victor on how to collect the three necessary ingredients for the elixir. The recovery of each of the key substances frequently puts the characters in life-threatening situations while testing their bravery and dedication to their quest. This dark tale ends in such a foreboding way, promising future adventures for Victor. This is an absorbing gothic tale that serves as a prequel to Mary Shelley’s Frankenstein. Aimed at teens, it will hopefully serve as a unique way to get young adults interested in both classic literature and the history of science and magic. This book will likely appeal to those who enjoyed the later darker novels in the Harry Potter series, as it too explores the interconnections between faith, science, and magic. Paracelsus and Agrippa were mentioned in Harry Potter and the Philosopher’s Stone, in which alchemy was also a prevalent theme. Readers will find the adventure captivating, and may want to watch for the movie version, which is expected to be released in 2013. Highly Recommended: 4 out of 4 starsReviewer: Trish ChatterleyTrish is a Public Services Librarian for the John W. Scott Health Sciences Library at the University of Alberta. In her free time she enjoys dancing, gardening, and reading books of all types.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".