Packet 20: Bonus 17
A trip to Paris reveals flashbacks of Sasha’s marriage to Enno and her newborn son’s passing in this author’s novel Good Morning, Midnight. For 10 points each:
[10h] Name this novelist who included flashbacks of a fire at Coulibri in Wide Sargasso Sea, which ends with Antoinette Cosway being locked in an attic and called Bertha by her husband.
ANSWER: Jean Rhys (“reese”) [or Ella Gwendolyn Rees Williams]
[10e] Jean Rhys’s Wide Sargasso Sea depicts the marriage of Mr. Rochester to Bertha Mason as a prequel to this novel by Charlotte Brontë.
ANSWER: Jane Eyre
[10m] While trapped in the attic, Antoinette’s fragmented internal monologue is narrated via this technique. In Good Morning, Midnight, Rhys uses this technique to express Sasha’s thoughts as an uninterrupted “flow.”
ANSWER: stream of consciousness
<McGill E, World Literature> | Packet F
| Editions | Heard | PPB | Easy % | Medium % | Hard % |
|---|---|---|---|---|---|
| 2 | 103 | 19.61 | 77% | 94% | 25% |
Conversion
| Team | Opponent | Part 1 | Part 2 | Part 3 | Total | Parts |
|---|---|---|---|---|---|---|
| Claremont B | UCLA F | 0 | 10 | 10 | 20 | EM |
| UC Santa Barbara | USC A | 0 | 10 | 10 | 20 | EM |
| UCLA A | UC Irvine | 0 | 0 | 10 | 10 | M |
| UCLA B | UCSD A | 0 | 0 | 10 | 10 | M |
| UCLA C | Claremont A | 0 | 10 | 10 | 20 | EM |
| UCLA D | Claremont C | 0 | 10 | 10 | 20 | EM |
| UCSD B | USC B | 0 | 10 | 10 | 20 | EM |
Summary
| Tournament | Edition | Exact Match? | Heard | PPB | Easy % | Medium % | Hard % |
|---|---|---|---|---|---|---|---|
| Northern California | US | Y | 3 | 16.67 | 67% | 100% | 0% |
| Southern California | US | Y | 7 | 17.14 | 71% | 100% | 0% |
| Eastern Canada (1) | US | Y | 4 | 17.50 | 75% | 75% | 25% |
| Eastern Canada (2) | US | Y | 9 | 24.44 | 100% | 89% | 56% |
| Florida | US | Y | 3 | 16.67 | 33% | 100% | 33% |
| Great Lakes | US | Y | 9 | 24.44 | 100% | 100% | 44% |
| Lower Mid-Atlantic | US | Y | 8 | 22.50 | 100% | 100% | 25% |
| Upper Mid-Atlantic | US | Y | 7 | 18.57 | 71% | 100% | 14% |
| Midwest | US | Y | 9 | 20.00 | 67% | 100% | 33% |
| North | US | Y | 4 | 17.50 | 50% | 100% | 25% |
| Northeast | US | Y | 11 | 20.00 | 82% | 100% | 18% |
| Pacific | US | Y | 8 | 18.75 | 63% | 100% | 25% |
| South Central | US | Y | 5 | 10.00 | 40% | 60% | 0% |
| Southeast | US | Y | 11 | 20.91 | 91% | 91% | 27% |
| Upstate NY | US | Y | 5 | 16.00 | 60% | 80% | 20% |