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Record W1989373947 · doi:10.1890/0012-9623-94.2.170

The Qualities and Impacts of a Great Mentor—and How to Improve your own Mentoring

2013· article· en· W1989373947 on OpenAlexaff
Paul Grogan, Val Eviner, Sarah E. Hobbie

Bibliographic record

VenueBulletin of the Ecological Society of America · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsStewardship (theology)Session (web analytics)SubconsciousEcologyEngineering ethicsSociologyEnvironmental ethicsPsychologyPolitical scienceEngineeringBiologyLawComputer scienceMedicine

Abstract

fetched live from OpenAlex

The following talk was given at a special session celebrating Prof. F. S. Chapin III's contributions to ecology, entitled: “Growing our Understanding of Life on Earth: Reflections on the Scientific and Training Legacies of Terry Chapin, from Physiological Ecology to Earth Stewardship” at the Annual Meeting of the Ecological Society of America in Portland, 7 August 2012. Most of the presentations in this session have or will focus on Terry's direct contributions to science—the new perspectives, the advances in our understanding of ecology. Here, my coauthors Val Eviner, Sarah Hobbie, and I want to focus on Terry's indirect contributions to science through his mentoring of the next generation of ecologists. Our core message paraphrases the popular song entitled “It ain't what you do, it's the way that you do it. . .” It's not just what Terry's done; it's the way that he's done it. Mentoring, like teaching, is a core activity for many scientists (and in related ways for many other professions), and yet few of us have had any formal training in either. Most of us plod along, subconsciously drawing on our own experiences of being mentored, and “learning by our mistakes.” Formal reflections on the goals of mentoring, and how it can best be achieved, are extraordinarily rare in the literature, and yet mentoring is a fundamental process in the training of scientists (and others). But it is also much more, and here we aim to divert your thoughts away from the hard science for a few moments and to spark your interest in the process and value of mentoring. We hope that this topic will be of just as much interest to the mentees in the room, since it should provide useful insights into the process that they are going through. We will address the following question: “What can we learn from reflecting on Terry's mentoring qualities that will help us to improve our own mentoring skills?” Thus, there are two strands: a consideration of Terry's contribution, and in addition a more generic consideration of the mentoring process and how each of us can optimize it. The term originates from one of the earliest and most seminal pieces of literature of all time— Homer's epic poem The Odyssey. The Odyssey describes the triumphant 10-year journey of Odysseus back home from his victory at the Battle of Troy. Mentor is a character in the story who is entrusted by Odysseus with the care and education of his son back home. In fact, at one point this character becomes transformed into a vehicle of the goddess Athena so that she can appear on Earth and give guidance to his son. This point is significant, because it suggests that Mentor has substantial female as well as male attributes, and as you shall hear shortly, good mentoring undoubtedly involves traits of both genders. It is also interesting that the word odyssey has been formally incorporated into the English language, and is defined as “a long series of wanderings or adventures, especially when filled with notable experiences, hardships etcetera” (Random House Dictionary, Unabridged, 1993). Can it be pure coincidence that such a definition provides an excellent description of a typical Ph.D. “journey”? A mentor, then, is a counsellor, teacher, or guide who provides experienced and trusted advice (Oxford English Reference Dictionary, 1996). The word “mentor” is fundamentally linked to the word “pedagogue”; literally someone who walks along with the student to his/her place of learning as Socrates is reputed to have done. Accordingly, it was education by self-learning (facilitated by mentors) that Oscar Wilde was thinking of when he declared: “Nothing that is worth knowing can be taught.” In other words, one must learn for oneself, but one can be guided in the process. As lecturers, and as mentors, our ultimate goal is to help students develop themselves from being dependent to independent learners. In its fundamental essence, then, a great mentor is a guide who facilitates self-learning by his/her students. We took several approaches to addressing this question. We surveyed Terry's former and current Ph.D. students and postdocs, asking them about their experiences in being mentored, and their strategies as mentors; we reviewed several of the principal writings on scientific mentoring; we asked Terry himself what he thought, from his perspectives as a mentor, and as a mentee; and we reflected on our own experiences of being mentored. What qualities do you think Terry displayed which have been most helpful in developing your : (a) science, (b) personal development? What lessons did you learn from your experience with Terry that have influenced how you approach mentoring? If, since departing from Terry's lab, you have been mentoring others, what qualities do you think you have displayed that have been most helpful to them in their development as:(a) scientists, and (b) as mature human beings? Overall, the most important and frequent feature highlighted by almost every respondent was that Terry leads by example. He leads in the sense that he demonstrates to those around him professional excellence, intelligence, creativity, scholarship, dedication, a real joy in doing science, and a commitment to broad thinking and to innovative fundamental as well as applied ecological research. In addition, almost every response highlighted at least one of the following aspects of his connectedness to mentees and colleagues: patience, kindness, integrity, sincerity and friendliness. Many respondents felt that Terry creates an environment that is supportive, stimulating, and open-minded. One student wrote: “It's an environment that expects the best of everyone, but knows that to reach one's best, and to push the boundaries of science, there will be plenty of confusion and fresh starts along the way.” In particular, Terry is open to learning from everyone around him. Thus one of the characteristics of his mentoring style is that, with careful guidance, he allows his advisees to steer the direction of their science according to what excites them. Terry maintains the attitude that he will learn as much from his students and post-docs as they will learn from him. At the same time, he always sets high expectations for his advisees. Another respondent reflected, “When Terry believes that you are capable of the best, it's hard not to try and rise to the occasion. Terry showed all of us that it's possible to be successful while being humble. One can be serious in actions, while not taking oneself too seriously in words or appearances. For Terry, actions and deeds speak for themselves.” Given the importance of the topic, it is quite extraordinary just how little information is available. Some excellent guides have been produced (e.g., National Academy of Sciences 1997, Gray et al. 2008, University of Michigan 2011), but it seems that the principal widely circulated publication is an article entitled “Nature's guide for mentors” (Lee et al. 2007). This article highlights many generic traits of good mentors, such as enthusiasm, availability, being hard-working and inspiring, encouraging skill development, as well as many of the personal characteristics that we identified in our survey. In addition, it includes a useful set of self-assessment questions aimed at encouraging reflection on one's mentoring, and at identifying areas for improvement. On the basis of what we have learned from our survey and reflections, we have substantially expanded the scope of that self-assessment exercise to provide a more complete perspective on the fundamental features of good mentoring (Table 1). We hope that this will be a particularly useful tool for anyone interested in analyzing and improving their mentoring skills. Some features are clearly more easily addressed than others, but at the very least, recognition of one's strengths and weaknesses should lead to greater self-awareness that is likely to be beneficial. Nevertheless, all that having been said, it may come as no surprise to learn that Terry has told me that he has never done such an activity, and describes his strategy for mentoring as “unconscious, and evolving”! I think of students and postdocs as colleagues with both common interests that make us want to work together, as well as skills and knowledge that are different from mine, so we both have things to gain from effective interactions. On issues such as developing research questions, study design, and methodology, we both need to bring whatever ideas, questions, and critical thinking we might have to the discussion…. By the time most students graduate, I am usually learning much more from them than the other way around. I particularly like the opportunities to do field work together, both because it is usually fun, and because there are usually lots of chances to explore ideas about science and life. There are several features of Terry's response above that add to the traits already highlighted from the survey and the Nature article, and that resonated with us. First is the notion of coevolution. Both mentor and mentee can be developing new understanding. This mutually beneficial relationship is most likely when the mentor creates an atmosphere where the mentees can develop their ability and self-confidence to the point that they can bring new ideas and perspectives, and when mentors are open-minded to novel and challenging ideas. Second, the time shared over field work and the wide-ranging discussions and sharing of perspectives on science and life can be extraordinarily beneficial. Here are Terry's reflections on what he gained from his own mentors. Four people stood out. There was a high school chemistry teacher who taught using the Socratic question-and-answer approach. There were undergraduate field botany courses that were so good that Terry switched his major from economics to biology. (There's just one example of how profound an influence a good mentor or teacher can have.) Terry writes “In grad school, Hal Mooney taught me the necessity of being independent in working out questions, methods, and making my own decisions, while being an important safety net and a brutally honest reality check at critical times in the thesis process.” (There's a trait that we consider fundamental in a good mentor—the willingness to make the hard—even unwelcome—suggestions.) Terry continues “I still look forward to his feedback and opinion about important questions of how and what science to do.” (There's the mentoring for life issue identified in the Nature article.) In reflecting on his wife's contribution, Terry concludes ”Finally, Mimi has always been my most important mentor. She has also helped me find a reasonable (well sort of) balance between professional and personal stuff; it has always been tough for me to keep the bigger picture of “life” in mind in setting priorities, and Mimi is good at helping me see this bigger picture without telling me what to do.” We think this statement on balance is at the core of our overall analysis. Mentoring is not just about the science training, it is a training in how to live life and interact with other people in a humanitarian way. In summary, a great mentor teaches us by example not just to be better scientists, but also to be better people. Furthermore, mentors don't do it alone. The community of people around them (family, other mentees, as well as colleagues) are critical to the process. One. Mentoring entails a personal as well as a professional relationship that involves a wide range of traits. By recognizing those traits, and reflecting on our own abilities, we can all improve our mentoring (see Table 1). Two. There are many benefits. For example, mentors benefit from the new ideas and perspectives of mentees, and from the extended family of departed mentees that creates potential new science collaborations, and provides new sources of future students. But surely the greatest benefit is the mentor's contribution to society by enhancing the maturity and personal development of his/her mentees. A Ph.D. is, after all, a doctorate in philosophy. Three. There is general consensus across our survey and the Nature article on the key generic features of good mentoring (Table 1). Four. You can be successful in science, and be a fine human being. Terry has proven that one can be a great scientist and at the same time extraordinarily generous with resources, ideas, and time to colleagues and students. He is a role model in that he clearly has not been “just out for himself,” but realized early on that he could make even greater contributions by promoting the careers of others, particularly junior scientists. Hence the major theme: ‘It's not just what Terry has done, it's the way that he's done it.” On behalf of all your mentees, Terry (all of those graduates, post-docs, technicians, as well as science collaborators and colleagues—and not forgetting the numerous undergraduates who have worked with you), it has been a great honour and pleasure to have experienced your guidance. Our survey and this analysis clearly indicate that you will leave a legacy not just for science but also for society. Thank you all for listening, but most of all, thank you Terry. Terry Chapin at work, rest, and play Many thanks to Jill Johnstone and Michelle Mack for organizing the session, to Jill Johnstone and Dave Hooper for the use of the photographs, and to all of the Chapin lab mentees who took the time and effort to respond to our survey.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2013
Admission routes1
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