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Record W3205802759 · doi:10.22582/ta.v10i3.612

Persuading Pre-Professionals to be Participant Observers: Reflections on Teaching Anthropology and Education to Professional Teacher Candidates

2021· article· en· W3205802759 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTeaching Anthropology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsParticipant observationEthnographyPedagogyTeacher educationProfessional developmentMindsetContext (archaeology)Graduation (instrument)SociologyIdeologyObserver (physics)Mathematics educationPsychologyEpistemologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

This paper explains how I design and teach an Anthropology and Education course within a professional teacher education program. After establishing how some teacher candidates might initially imagine that this course is irrelevant to their professional education, I argue that anthropological knowledge and being able to think anthropologically enables teacher candidates to become better teachers. Specifically, I argue that becoming a participant observer of one’s own and others’ practices provides an easily accessible crossover between an anthropological method and mindset, on the one hand, and teacher actions like instruction, observation, assessment, and reflective practice (Schön 1982), on the other. To support this claim, I describe how I teach teacher candidates concepts and theory from anthropology that are applicable to the study of education, and can be used to inform their work on a video ethnography of a classroom (Hester 2012) that I assign to develop their practice of professional participant observation. I then describe how I prepare teacher candidates to consider the context of that video, especially as it offers an encounter with ideological diversity within the teaching profession and schools. The conclusion explains how I encourage the candidates to continue using the participant observer concept to inform their professional work post-graduation.

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.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.241
GPT teacher head0.533
Teacher spread0.292 · 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