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Record W4404957351 · doi:10.47134/pgsd.v2i2.1177

The Importance of Using Movies in EFL Classrooms

2024· article· en· W4404957351 on OpenAlexaboutno aff
Maya Daraselia, Tamar Jojua

Bibliographic record

VenueJurnal Pendidikan Guru Sekolah Dasar · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationComputer science

Abstract

fetched live from OpenAlex

This study explores the profound impact of climate change on the indigenous communities of Northern Canada, with a focus on how rapidly changing environmental conditions are altering traditional lifestyles, health outcomes, and socio-economic structures. Indigenous populations, particularly those residing in the Arctic and sub-Arctic regions, are experiencing heightened vulnerability due to the interconnection between their cultural practices and the natural environment. The paper examines the direct and indirect effects of climate change, including shifts in ice cover, wildlife migration patterns, and extreme weather events, and analyzes how these changes disrupt hunting, fishing, and community cohesion. Additionally, the research delves into the broader implications for indigenous health, including mental health challenges and the exacerbation of pre-existing conditions. By considering both the scientific data and the lived experiences of Indigenous peoples, this study underscores the urgent need for tailored climate adaptation strategies that respect indigenous knowledge systems and promote resilience in these communities. The findings emphasize the importance of inclusive, culturally sensitive approaches to policy-making in order to mitigate the negative effects of climate change and ensure the preservation of Indigenous ways of life.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.838

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.299
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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