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Record W2061003027 · doi:10.1097/aln.0b013e3181c98eea

Careers in Anesthesiology: The Joy of Volunteering, Volume XI.

2010· article· en· W2061003027 on OpenAlexaboutno aff
Adam J. Carinci, Michael J. Avram

Bibliographic record

VenueAnesthesiology · 2010
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsAnesthesiologyMedicineVolume (thermodynamics)Medical educationFamily medicineAnesthesiaThermodynamics

Abstract

fetched live from OpenAlex

Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts. acarinci@partners.orgCareers in Anesthesiology: The Joy of Volunteering, Volume XI. By Donald Caton, M.D., and Kathryn E. McGoldrick, M.D. (Editors). Park Ridge, Illinois, Wood Library-Museum of Anesthesiology, 2008. Pages: 99. Price: $50.00.Careers in Anesthesiology, The Joy of Volunteering is an interesting and thought-provoking collection of personal stories, anecdotes, and memories from the authors' collective experience in volunteering. The stories included in the text are woven around the core concept of “Professionalism,” which the authors' state is grounded in excellence, altruism, respect, responsibility, integrity, collaboration, and celebration of diversity. A major aim of the text, as outlined in the introduction, is to “... stimulate medical students and young physicians to know the intense satisfaction that altruistic care for others brings.” This concept of “giving back” is not only applicable to medical students and young physicians but also to all physicians involved in the care of patients. Careers in Anesthesiology accomplishes more than its stated goal and is an easy, light-hearted read that will entertain, amaze, and ultimately inspire.Each of the eight chapters is written by a separate author and is based on the respective author’s life experiences in volunteering both within the medical mission realm and broader professional community. Each chapter is replete with the authors' personal journeys and self-reflection during their experiences. The adventurous stories take the reader to various domestic cities, such as, Dallas, Texas; Philadelphia, Pennsylvania; New Orleans, Louisiana; Boston, Massachusetts; and Baltimore, Maryland, and to far away exotic places, such as Tanzania, Africa; Kazakhstan, Asia; Newfoundland, Canada; and Peru, South America. The fascinating accounts are filled with successes and failures, and triumphs, and tribulations. Although the various narratives differ, the core themes of professionalism, altruism, and compassion are woven through each and every chapter.The text is easy to read, lighthearted, and fun. Almost all the chapters are concise, organized, and linear, without being verbose. Several well-selected pictures are included that help define the experiences of the authors and vividly portray the nature of their work. The stories are entertaining and interesting, and those with volunteer experience will easily relate to the sacrifice and sense of accomplishment. Moreover, in addition to being engaging, the stories are inspiring.Now, perhaps more than ever, the contemporary practice of medicine is in desperate need of reinvigoration. Medicare reimbursement, health maintenance organizations, pay-for-performance, quality metrics, evidence-based medicine, government relations, lobbying, and innumerable more issues bombard the practice of medicine daily. All these issues have conspired to depersonalize the practice of medicine and have subsequently led to various degrees of physician burnout. Careers in Anesthesiology is a timely reminder of why we have chosen medicine as a career and is a perfect vehicle with which to rekindle our enthusiasm for medicine.I enthusiastically endorse this book as a valuable addition to the library not only to anesthesiologists but also to physicians in any specialty. Published by the Wood Library-Museum, this text continues the model of excellence, creativity, and accomplishment that are the hallmarks of that great institution. It is a fascinating and humbling collection of stories based on the concept of volunteerism that will, no doubt, inspire many to give back.Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts. acarinci@partners.org

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0250.012

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.

Opus teacher head0.012
GPT teacher head0.266
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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