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Record W2188279262

INSIGHTS INTO THE LIVED EXPERIENCES OF THREE MALE ELEMENTARY SCHOOL TEACHERS

2011· article· en· W2188279262 on OpenAlexaboutno aff
Arthur Cota

Bibliographic record

VenueQSpace (Queen's University Library) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPedagogyPsychologySociologyGender studies
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the present study was to understand the lived experiences of three male elementary teachers working at the Kindergarten to Grade 4 level in a single school district in northwestern Alberta. The study investigated how the participants saw their roles as male elementary teachers, the work-related challenges they faced, and how they responded to those challenges. 
\nThree male teachers with single-grade assignments ranging from Grade 2 to Grade 4 participated in the study. The participants were asked to reflect on various aspects of their experiences of teaching in the traditionally female-dominated profession of elementary education. Data were collected through individual interviews with each participant between May 2011 and June 2011. 
\nData were analyzed with respect to the participants’ approaches to physical contact with students, their attitudes about role modelling, and their perspectives on men in elementary education. Andrew, Brian, and Peter had various degrees of physical contact with their young students with most of the physical contact in all three participants’ classrooms being initiated by students. All three participants saw role modelling as an important task for male elementary teachers; however, they tended to model socially acceptable human behaviour for all students rather than attempting to serve as “father figures” who modelled stereotypically male attributes for male students to emulate. Finally, all three participants were hopeful that more men would decide to enter the profession in the future.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.988

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 studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.033
GPT teacher head0.264
Teacher spread0.231 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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