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Financial Reporting Interview-Based Research: A Field Research Primer with an Illustrative Example

2016· article· en· 66 citations· W2565097285 on OpenAlex· 10.2308/bria-51648

Why is this work in the frame?

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

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Metaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categories
Metaresearch
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.489
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.056
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0010.004
Open science0.0020.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.455
GPT teacher head0.459
Teacher spread
0.004 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

ABSTRACT To better focus financial reporting research on key issues as seen by participants in the financial reporting process and to give added depth to the interpretation of archival and experimental results, there have been increased calls for financial reporting researchers to “enter the field.” As field research methods, especially interview-based, are rarely covered in accounting doctoral programs that focus on archival or experimental research, the goal of this article is to provide a basic primer on how to conduct positivist field-based research using qualitative interview methods. We assemble a set of resources that facilitate the transfer of knowledge about the interview method, both by reviewing the explicit knowledge that needs to be acquired, as well as by illustrating how we carried out a study on the earnings press release creation process. Such a “how to do” approach is well suited for the passing on of the tacit knowledge required by researchers beginning a qualitative research program. We hope to aid novice field researchers in financial reporting gain a basic fluency in qualitative interview-based methods. Increased fluency in the production of valid, reliable, field-based financial reporting research will benefit the financial reporting research community as a whole by leading to a greater appreciation of how financial reporting process participants see the world they are active in.

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.

The record

Venue
Behavioral Research in Accounting
Topic
Auditing, Earnings Management, Governance
Field
Business, Management and Accounting
Canadian institutions
Queen's UniversityMcMaster UniversityBrock University
Funders
not available
Keywords
Qualitative researchField (mathematics)FluencyProcess (computing)Tacit knowledgeField researchEarningsAccounting researchAccountingPsychologyFinanceKnowledge managementComputer scienceBusinessSociologyMathematics education
Has abstract in OpenAlex
yes