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Record W2127969149

Shifting from Stories to Live by to Stories to Leave By: Early Career Teacher Attrition.

2014· article· en· W2127969149 on OpenAlexaboutno aff
Lee Schaefer, C. Aiden Downey, D. Jean Clandinin

Bibliographic record

VenueTeacher education quarterly (Claremont, Calif.) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeAttritionConversationRegretPedagogyNarrative inquiryPsychologySociologyLiteratureArtMedicine
DOInot available

Abstract

fetched live from OpenAlex

Introduction We began this research by asking questions about the high number of teachers who leave teaching in their first five years of teaching. The literature on early career teacher attrition (Borman & Dowling, 2008; Guarino, Santibanez & Daly, 2006; Macdonald, 1999; Smith & Ingersoll, 2004) left us with wonders around the experiences of teachers who leave. The storied experiences of those who leave appear absent, for the most part, in the literature. In order to hear the stories of the experiences of early career teacher leavers we engaged in a narrative inquiry with four teachers who left teaching in their first five years. We are researchers, who are also teachers who have left classrooms. The stories of these early career leavers resonated strongly with us. As we engaged in the study, we awakened to how the early career teacher leavers' stories shifted and changed with each conversation, as the research conversations allowed them to make sense of their experiences with leaving. A Story Fragment We begin with a story fragment from a narrative account (Clandinin & Connelly, 2000) with Natalie, one of the early career leavers that Jean worked alongside. As shown in Natalie's story fragment below, the conversations were imbued with emotion, with regret, and with tension, as her stories to live by shifted to stories to leave by (Clandinin, Downey, & Huber, 2009). I (Jean) sit at the small table in my office across from a striking young woman. I call her Natalie. We are talking about her experience of leaving K-12 teaching after only four years. She wipes tears from her eyes and I know this is a difficult conversation for her. She tells of coming to Canada as a small child with her parents, of speaking a language other than English, of being identified early as someone who needed help, and of working with an academic tutor through her elementary and junior high school years in order to do well in school. She tells of going into the sciences when she entered university. She also tells of living within a family story in which she needs to have a career. In order to live up to, or to live out, that family story (Carr, 1986), she tells of her decision to take a dual degree, one where she could earn both a B.Sc and a B.Ed. As her stories unfold over several conversations, I come to know more and more of Natalie's experiences, her stories of her experiences of coming to teaching, and of teaching. At first she tells stories with lightness. Natalie tells a story of herself as a good teacher who knew her subject matter, was asked to participate in school and government curriculum committees, and was able to help her students learn the subject matter she loved. Natalie was given a tenured position early, a sign of the high regard of her school district. As she said, So one of the reasons I still kept going to work and was relatively happy was cause I loved being in the classroom. I loved the interactions there. Different things would happen every day ... so different dynamic things happen and I like that. That's why I loved the classrooms. (Natalie, personal communication, February 13, 2012) Natalie also tells of working closely with a small group of colleagues over many hours and weeks to devise an innovative approach to curriculum and how much she enjoyed this work with colleagues. Then, as we came to know more of each other through further conversations, there are more tears as she tells of her experiences of leaving K-12 teaching. These are hard to tell stories, stories she has not told before in the smoothed over, cover story of how she left teaching to come to graduate studies. She tells of how she and her colleagues were not recognized for their innovative work but that someone else was given the credit. She describes how she was unable to even arrange an appointment to tell the recently appointed principal of the high school where she was teaching that she was resigning. …

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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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.007
Scholarly communication0.0070.007
Open science0.0020.008
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.068
GPT teacher head0.355
Teacher spread0.286 · 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 designQualitative
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".

Quick stats

Citations37
Published2014
Admission routes1
Has abstractyes

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Same venueTeacher education quarterly (Claremont, Calif.)Same topicTeacher Education and Leadership StudiesFrench-language works237,207