Janis Cramer, a true "Okie from Muskogee" Oklahoma, another one in a family of storytellers, has finally compiled experiences of her lifetime into one book, "My Finest." Inside you will find "Grandma's Panties," "My Ten Minutes with Bob Dylan," "2001, a Gorilla Odyssey," and "Some Girls Would," to name a few.Cramer, a creative writing teacher for 18 years at Muskogee High School and 23 years at Mustang High School in Oklahoma, has included in this portfolio of memoirs several genres of writing: childhood experiences, family stories, teacher lore, travel pieces, a professional piece for other teachers, and a couple of poems.Depending on what phase of her life you might have known the author--whether she was Sweetiepie, Janis Thomas, Mrs. Lowrance, or Mrs. Cramer--you might have heard her tell a few of these stories. Now you will have a chance to read the rest.At the end of each chapter is a reflection on the piece, put there for her students to show she practices what she preached. She hopes each piece in this showcase portfolio of her years of work will bring a belly laugh or a tear or two from the reader.
Now retired from teaching creative writing at two Oklahoma high schools, Janis Cramer is finally publishing her own showcase portfolio, a compilation of her readers' favorite pieces. Inside are "Kissy Kay," "2001, A Gorilla Odyssey," "Happybottom," and "Bob Dylan and Me," to name a few. The writings are followed by personal reflections about the experiences and a description of the process Janis went through in writing the piece.Each vignette is a memoir of Janis's life, growing up in 1950's Muskogee, Oklahoma, and carrying through her life as a teacher and her retirement as a writer and traveler. Each memory in some way shaped the person Janis was to become. Janis chose this format for her book because it was the way she required her students to showcase their writing at the end of the semester or school year. Good writers revise and reflect on their writing. For years, her students complained that she should be making her own portfolio, too, but she was always too busy grading their papers! From the first story--a memoir about the first time she purposefully disobeyed--to her experience meeting Bob Dylan--to her climb up a mountain in Rwanda to see gorillas--to her role as hospice nurse to her mother--she hopes the stories will bring about a sense of nostalgia and nudge a belly laugh out of the reader at least once in each chapter.For her audience, Janis hopes to find long-lost family members; old classmates; teacher friends; and other Oklahoma Writing Project teacher consultants. She hopes that each of those people will share the book with at least one more person, so that the books become earmarked and worn."Really, this is a perfect book for the bathroom. Just let it fall open where it wants to. Or choose a long or a short story, depending on how much time you have. The order of the stories doesn't really matter," Janis says. "Just enjoy the storytelling.
Growing up in a family of storytellers, Janis Thomas Cramer spent Sunday dinners with the Thomas clan in Muskogee, Oklahoma, where she heard family lore begging to be retold--stories of the Depression, of six sons fighting in World War II, and of a tornado's destroying three family homes. She lived fantastic stories of her own as well, with two brothers and an army of cousins and friends from Riverside School. In the early Sixties, she endured teenage angst with other Baby Boomers crowding into Alice Robertson Junior High School during the New Math, the Race for Space, and the President's Physical Fitness Challenge. “Growing Up Thomas” carries the reader with Janis through some captivating vignettes of her young life.“Come along with Sweetiepie in the Rocket 88. Meet some real Okie characters from the last century. Scratch your head. Laugh out loud. Shed a tear. Be a kid again.” ~~Bill Lehmann, author of "An Okie from Muskogee Recalls Growing up in the Dirty 30s.
In her handmade scrapbook Janis Joplin created a personal record of her meteoric rise to fame and the flowering of Sixties counterculture in which she was to play a lead role ... Throughout it all, she collected posters, souvenirs, press clippings, photographs and records, and annotated them with her comments. More than 50 years later, Janis's scrapbook is revealed for the first time. Featured alongside are previously unpublished items from her personal archive, including letters she wrote home to her family and a preceding scrapbook from her senior high school years, 1956-59"--Publisher's website
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.
While advice abounds from a variety of sources before parents embark on their parenting journeys, the only parent preparation we actually receive comes from our family and peer stories. Yet most adults do not realize that in day-to-day challenges of guiding our children, something interesting happens. As we steer our children through life, we reopen our own childhood roads. Just when our child most needs us, we become needy ourselves: as adults and parents, we find that we have unresolved raising issues, basic needs that were not met in our childhoods. Our needs and memories echo and influence many of the parenting decisions we make, even though we’re unaware of those influences at times. Fortunately, children help parents reach their needs as much as their parents help them fulfill their own. Our child ends up guiding us, by connecting us to some earlier time in our life when we encountered distress. We dredge up a lesson, and we adapt by adhering to or changing the story that we tell ourselves about who we are. We re-negotiate the five basic needs that surface from our childhood memories as our youngsters pass through each of the developmental phases. The self-aware parent focuses on creative problem solving by focusing on one interaction at a time. It Takes a Child to Raise a Parent offers an exploration of how our own childhood memories and needs influence and shape our parenting decisions in our adult lives. Offering tips, stories from a variety of families, and step by step exercises, Janis Johnston helps parents better understand and grasp the tools necessary to face parenting challenges head on, and to explore new ways of understanding ourselves, our children, and our family interactions. Expectant parents and current parents interested in understanding their own personality development as well as the many moods of childhood and their own children, will find clear guidelines for understanding their roles in their children’s lives as well as concrete suggestions for how to navigate the choppy waters of raising children.
The primary purpose of this book is to introduce the reader to a wide variety of interesting and useful connections, relationships, and equivalencies between and among conventional and permutation statistical methods. There are approximately 320 statistical connections and relationships described in this book. For each connection or connections the tests are described, the connection is explained, and an example analysis illustrates both the tests and the connection(s). The emphasis is more on demonstrations than on proofs, so little mathematical expertise is assumed. While the book is intended as a stand-alone monograph, it can also be used as a supplement to a standard textbook such as might be used in a second- or third-term course in conventional statistical methods. Students, faculty, and researchers in the social, natural, or hard sciences will find an interesting collection of statistical connections and relationships - some well-known, some more obscure, and some presented here for the first time.
This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. lly-informed="" audience,="" and="" can="" also="" easily="" serve="" as="" textbook="" in="" graduate="" course="" departments="" such="" statistics,="" psychology,="" or="" biology.="" particular,="" the="" audience="" for="" book="" is="" teachers="" of="" practicing="" statisticians,="" applied="" quantitative="" students="" fields="" medical="" research,="" epidemiology,="" public="" health,="" biology.
The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size. Because permutation tests and measures are distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics.
This book offers a guide, for companies, pension funds, asset managers, and other institutional investors, on how to commence the legal, governance, and financial strategies needed for effective climate mitigation and adaptation, and to help distribute the economic benefits of these actions to their stakeholders. It takes the reader from ideas to action, from first steps to a more meaningful contribution to the move towards a net zero carbon world. It can serve as a helpful guide to everyone implicated in a corporation's activities - employees, pensioners, consumers, banks and other lenders, policymakers, and community members. It offers insights into what we should be expecting, and asking, of these fiduciaries who have taken responsibility for effectively managing our savings, our retirement funds, our investments, and our tax dollars.
A tasty oral history In 2018, Janis Thiessen, Kimberley Moore, and collaborator Kent Davies refashioned a used food truck into a mobile oral history lab. Together they embarked on a journey around Manitoba, gathering stories about the province’s food and the people who make, sell, and eat it. Along the way, they visited restaurant owners, beer brewers, grocers, farmers, scholars, and chefs in their kitchens and businesses, online, and on board the food truck. The team conducted nearly seventy interviews and indulged in a bounty of prairie delicacies, from Winnipeg’s “Fat Boys” to Steinbach’s perogies to Churchill’s cloudberry jam. Thiessen and Moore serve up the results of this research in mmm... Manitoba. Mixing recipes, maps, archival records, biographies, and full-colour photographs with fascinating stories, they showcase the province’s diverse food histories. Through the sharing and preparing of food, the authors investigate food security and regulation, Indigenous foodways and agriculture, capitalism’s impact on the agri-food industry, and the networks between Manitoban food producers and retailers. The book also explores the roles of gender, ethnicity, migration, and colonialism in Manitoba’s food history. Hop on the Manitoba Food History Truck and journey into the province’s past with engaging essays and easy-to-follow recipes for kjielkje and schmauntfat, snow goose tidbits, chicken karaage, the Salisbury House flapper pie, duck fat smashed potatoes, Ichi Ban cocktails, pork inihaw, and more. mmm... Manitoba offers a thoughtfully nuanced, deliciously digestible, and wholly unique regional history that is sure to satisfy.
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