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A Qualitative Research on Perception of Geography by Training Teachers of Geography: Sample of Turkey

2013· article· en· W1854637626 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHigher education of social science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Research and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionSample (material)Meaning (existential)Mathematics educationHuman geographyGeographyContent (measure theory)PopulationFive themes of geographyHistorical geographySocial scienceSociologyEpistemologyPsychologyMathematicsDemographyDevelopment geographyChemistryPhilosophy

Abstract

fetched live from OpenAlex

The present study aims to determine how “geography” is perceived by training geography teachers (TGT) in Turkey. The method employed was the Content Analysis Method. All the necessary analyses were done based upon the answers given by the students to two open-ended questions (a) I think the concept of geography denotes ---- (b) In my way of thinking, geography means ----. The population of the present study was made up of 433 TGT educated in all the Departments of Geography Teaching occurring in 8 different universities across Turkey. All the answers given by the trainings were scrutinized and then expressions and concepts similar to each other in meaning and content were designed in such a way that they all appear in the same column. As a result of this process was determined from 10 different “Geography Concepts Category”.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.468
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.149
GPT teacher head0.532
Teacher spread0.384 · 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