MétaCan
Menu
Back to cohort
Record W2963144801 · doi:10.1108/etpc-12-2018-0116

Polic(y)ing time and curriculum: how teachers critically negotiate restrictive policies

2019· article· en· W2963144801 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

VenueEnglish Teaching Practice & Critique · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFraming (construction)SituatedCurriculumAgency (philosophy)NegotiationSociologyPedagogyPolicy analysisPoliticsOriginalityMathematics educationPolitical sciencePsychologyPublic administrationSocial scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to theorize teacher agency as enacted through a P/policymaking lens in three elementary classrooms. Big-P Policies are formal, top-down school reform policies legislated, created, implemented and regulated by national, state and local governments. Yet, Big-P policies are not the only policies enacted in literacies classrooms. Rather, little-p policies or teachers’ local, personal and creative enactments of their values and expertise are also in play in daily classroom decisions. Little p-policies are teachers doing their best in response to their students and school contexts. Design/methodology/approach Adapting elements of discursive analysis, this interpretive inquiry is designed to examine textual artifacts, situated alongside classroom events and particular local practices, to explicate what teachers’ policymaking enactments regarding time and curriculum look like across three distinct contexts. Using three elementary classrooms as examples, this paper provides analytic snapshots illustrating teachers’ policymaking to solve problems of practice posed by state and school policies for curriculum, and for use of time at school. Findings The findings suggest that teachers ration (aliz)ed use of time in ways that enacted personal politics, to prioritize children’s personal growth and well-being alongside teachers’ values, even when use of time became “inefficient.” An artifact from three focal classrooms illustrates particular practices – scheduling, connecting and modeling – teachers leveraged to enact little p-policy. Teachers’ little p-policy enactment is teacher agency, used to disrupt temporal and curricular policies. Originality/value This framing is valuable because little-p policymaking works to disrupt and negotiate temporal and curricular mandates imposed on classrooms from the outside.

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)0.004
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.027
GPT teacher head0.379
Teacher spread0.352 · 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