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Beyond the Edges: Crossing the Boundaries of Identity within Autobiographical Beginnings

2019· book-chapter· en· W2978451319 on OpenAlexaboutno aff
C. L. Clarke

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive reframingIdentity (music)NarrativeMetaphorSociologyAestheticsContext (archaeology)CurriculumCraftPedagogyGender studiesPsychologySocial psychologyVisual artsHistoryArtLiteratureLinguistics

Abstract

fetched live from OpenAlex

Abstract In this chapter, I explore my autobiographical beginnings as a means of better understanding what brought me to the research I explore throughout this text. As Clandinin and Connelly as well as Clandinin and Caine suggested, examining our own stories along with the stories of our research participants is essential to understand the identity-making process. Autobiographical beginnings within narrative inquiry bring to the surface those factors influencing the researcher’s perspectives, thus locating the researcher within the inquiry as well as within a larger life context. The experience of metaphorically travelling back into the muskeg where I grew up in Northern Saskatchewan and then writing about it shaped the structure of my reflections on this inquiry into identity-making and curriculum making on the edges of community. In this chapter, I refer to the edges of community as a metaphorical space or spaces occupied by people positioned or constructed as marginalized from a dominant norm positioned or constructed as central to a community. I suggest a reframing of our understanding of spaces conventionally referred to as marginalized as well as contend that the notion of marginalization, itself, is a metaphor. In my inquiries into identity-making and curriculum making, I attend to the ways in which people’s positioning within communities is complex and shifting. As this chapter illustrates, our individual identities are multivalent and inextricably intertwined with who we are, who we were, and who we wish to become, whether we are researchers, teachers, or pre-service teachers.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.911
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.010
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.374
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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