WEBVTT 00:00:00.000 --> 00:00:01.480 align:middle line:90% Good evening. 00:00:01.480 --> 00:00:05.140 align:middle line:84% Thank you so much for being here. 00:00:05.140 --> 00:00:10.710 align:middle line:84% I'm so honored to give my first public reading here in Tucson. 00:00:10.710 --> 00:00:12.930 align:middle line:84% I'm just going to make sure I have a timer going. 00:00:12.930 --> 00:00:16.320 align:middle line:90% 00:00:16.320 --> 00:00:19.500 align:middle line:84% So I'm so happy that the books are here. 00:00:19.500 --> 00:00:21.390 align:middle line:90% [LAUGHTER] 00:00:21.390 --> 00:00:25.950 align:middle line:84% So you get the books before anybody else. 00:00:25.950 --> 00:00:28.420 align:middle line:84% This cover is very special to me. 00:00:28.420 --> 00:00:30.480 align:middle line:84% The book is dedicated to my grandmother, 00:00:30.480 --> 00:00:33.750 align:middle line:84% and her name was Bun Em, and she was a weaver. 00:00:33.750 --> 00:00:36.180 align:middle line:84% And when she came to this country as a refugee 00:00:36.180 --> 00:00:39.570 align:middle line:84% after the genocide that took place under the Khmer Rouge 00:00:39.570 --> 00:00:42.900 align:middle line:84% regime in the '70s, she was really depressed. 00:00:42.900 --> 00:00:45.490 align:middle line:84% She had lost a lot of loved ones, 00:00:45.490 --> 00:00:48.970 align:middle line:84% including her husband and her eldest son. 00:00:48.970 --> 00:00:52.830 align:middle line:90% And she was-- she was a weaver. 00:00:52.830 --> 00:00:56.460 align:middle line:84% The women at the church that sponsored my family here, 00:00:56.460 --> 00:00:59.520 align:middle line:84% they raised enough money so that she 00:00:59.520 --> 00:01:02.580 align:middle line:90% could have a custom-made loom. 00:01:02.580 --> 00:01:06.900 align:middle line:84% And I would see her all the time weaving at her loom. 00:01:06.900 --> 00:01:11.460 align:middle line:84% And that was how I think she adjusted to this country 00:01:11.460 --> 00:01:15.060 align:middle line:84% and how she processed her grief and her trauma. 00:01:15.060 --> 00:01:18.390 align:middle line:84% So I'm going to begin a poem to honor her. 00:01:18.390 --> 00:01:19.605 align:middle line:90% It is called "The Weaver." 00:01:19.605 --> 00:01:22.610 align:middle line:90% 00:01:22.610 --> 00:01:26.900 align:middle line:84% She threaded the loom with one strand of her long silver 00:01:26.900 --> 00:01:31.200 align:middle line:84% hair, which might have kept growing until she was done, 00:01:31.200 --> 00:01:33.470 align:middle line:90% which might have fallen out. 00:01:33.470 --> 00:01:36.740 align:middle line:84% But I would come in and sit beside her on the cushion 00:01:36.740 --> 00:01:40.220 align:middle line:84% without her noticing and she would continue. 00:01:40.220 --> 00:01:44.540 align:middle line:84% Every day I saw this old woman weaving at her loom, rivers 00:01:44.540 --> 00:01:49.130 align:middle line:84% and lakes underneath her hair, the bottom full of silt. I 00:01:49.130 --> 00:01:51.950 align:middle line:84% could see it if I reached with a comb. 00:01:51.950 --> 00:01:54.770 align:middle line:84% And that was when she'd look at me. 00:01:54.770 --> 00:01:59.030 align:middle line:84% Under her hair she kept her oldest son who was out 00:01:59.030 --> 00:02:02.150 align:middle line:84% for a morning swim with swallows swooping down 00:02:02.150 --> 00:02:04.160 align:middle line:90% to touch the water. 00:02:04.160 --> 00:02:07.370 align:middle line:84% It made her happy as she worked on silk dresses 00:02:07.370 --> 00:02:09.889 align:middle line:90% and her hair never ran out. 00:02:09.889 --> 00:02:12.860 align:middle line:84% Sometimes when she was tired, she'd 00:02:12.860 --> 00:02:17.150 align:middle line:84% tie it up and let all the tired animals around her house drink 00:02:17.150 --> 00:02:19.030 align:middle line:90% from her head."