Guest Panel Sessions Flashcards

1
Q

What three areas of work/research did the panel sessions cover?

A
  1. Qualitative and interdisciplinary research; connecting physical and natural science with social sciences and history
  2. GIScience, spatial analysis - quantitative and qualitative
  3. Quantitative research and statistics
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2
Q

Who were the three main guests for qualitative research examples?

A

Nick Gill - political geography; asylum seekers and appeals

Steve Hinchcliffe - scientific, agricultural and institutional approaches to life security

Katrina Brown - vulnerability and resilience; understanding and response to climate pressures; capacities for adaptation and transformation

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3
Q

Who spoke to us about the application of GIS?

A

Mike Williams - Landmark; Data Research Consultant

  • Source infor for land and propoerty corporations
  • Plethora of uses e.g. environment, mapping, estate agencies, valuation, insurance

Daisy Atkin - Transport Planner with Charterships

  • Aids development and sustainable town planning
  • Accessibility, safety
  • Travel patterns, plans, behaviour, routing
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4
Q

Which guests could I refer to if talking about interdisciplinary approaches?

A

Dr Rebecca Pearce - Natural Environment Research for councils; Historic Droughts

  • Incorporates hydrologists, linguistics, geographers, geologists
  • To combine historic accounts, interviews, reports with instrumental data = consistent record since 1870s

Dr Jenny Barnett - House planning with Exeter City Council

  • Implications of second homes using questionnaires; qualitative methods to find perceptions of public
  • Reveales issues within population; Exeter’s residents not as a homogenous group or statistic
  • Further policy strategies using results
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5
Q

Outline methods used by Nick Gill and the implications of them. How could they be criticised?

A

Ethnographic perspectives on the immigration tribunal
3 researchers went to appeals for a year at 3 different hearing centres; 100 cases (390 total) - followed by interviews with some appelants, solicitors and repreentatives (did some stats)

+ found 96 different judges
+ 85% appellants were represented, 82% had interpreter
+ detailed, emotional observations; ‘conveyor belt justice’, economic incentives, high stress level, messy, fatigued judge, varying speeds and lengths, varying attitudes towards appellants, pre-determined outcomes for some (detained fast track), emotionless, varying levels of concern and patience
+ in-depth accounts of the atmosphere and speech used that puts appellant under pressure e.g. suffix, judge referred to as ‘sir’ or ‘maam’; hierarchical and unneccessarily formal/strict/cultural, bowing and standing

  • Slow process; interpretevist and v. time consuming/complex to analyse when done
  • Controversial and hugely impacting findings

+ Revealed inequalities and injustice of the system
+ By 2015, suspended DFT - 100s released from detention

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6
Q

Outline methods used by Steve Hinchcliffe and the implications/successes of his work. How could they be criticised?

A
  1. Urban development and wildlife = paricipant observations
    Development threat on brownfield site in Brimingham; environmental value; water voles (protected species)
    + Deductive process; found urban water voles
    + Inductive process; po’s with Wildlife Trust and active investigation revealed the complex ecological niches present in URBAN landscapes = stimulated new debate
    - Lost campaign
    - Complexities; not generalisable perhaps
  2. Biosecurity = ethnographical interrogation
    Many fear disease spread from animals to us through farming practice; regulation of livestock production by scientific research for biosecure process = is the industry complying?
    + Ethnography and interviews/discussions revealed the reality of farming; independent farmers
    + Conclusion; to make life safe need inter-disciplinary changes
  3. Antibiotics and farming = gov ABC model criticised with regards to telling farmers of dangers of overreliance on antibiotics = 40 clear statements ranked agreement by 35 ppl; factor analysis
    + Found there was not a lack of awareness, mindfulness required
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7
Q

Outline methods used by Katrina Brown and the successes/limitations of her work.

A

Researching, resilience in science; policy and practice
= themes of complexity, intersecting and interacting risks; using qualitative methods to:
+ gain in-depth analysis/data
+ focus on experience/relationships
+ give voice to multiplicity/difference; complexity
+ different contexts; non-scientific

= interdisciplinary approach e.g. gathering sample of policy statements, coding them, resilience tied to basic entities like economy, environment, communities

3 main discourses identified

  1. Optimist (nurturing resilience)
  2. Pessimist 1 (disaster risk reduction from external authorities/powers)
  3. Pessimist 2 (social vulnerability from within communities)

Conclusions: interdisciplinary approaches needed; to give voice to people, their emotions and understandings, using heritage and culture and performance to engage with resilience issues; who should be the agents?

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8
Q

With regards to Nick Gill’s work, outline the background of immigration tribunals and the process (just so I know what I’m talking about)

A

Those from outside UK wanting to live here to be safe from persecution in their home country = asylum seekers

  • Required to legally attain Refugee Status
  • If unsuccessful, they are deported
  • A tribunal takes place to judge whether the individual is worthy of that status
  • Multiple parties involved; Government, Home Office Presenting Officer, Judge, audience, representative, interpretor
  • The asylum seeker is the Appellant
  • DTF means Detained Fast Track where appellants faced a 90% failure rate, only 7 days to make case
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9
Q

Who spoke to us about the application of statistics and quantitative methods? What does he do and how does he use statistics? (2 case studies)

A

Dr Matt Amesbury; palaeoclimatic research using peatland cores; identification of climate proxies e.g. chemical, geological or biological

  1. New Zealand: new stable isotope proxy for Holocene evolution of SH westerly winds
    - Basic descriptives = experimental design; how sites fit (mean, ranges, SD) = whether sites useful for testing hypothesis
    - Correlation coefficients (Pearson’s r) = found strong negative relationship with temp; combined with linear regressions = isotopic data and climate
    - Confusion; positive relationship expected so perhaps plants in N adapted; more stomata?
    - Counting stomata, F-test and two sample t-test revealed NO statistical significance (interval, normal = parametric)
  2. Antarctic Peninsula (2017): significance of changes in moss banks since 1950
    - Moss banks 5k yrs old, 3 m deep
    - Multiple box-plots to compare spreads around mean, followed by t-tests
    - Later used TRANSFER FUNCTIONS = advanced statistical method to simplify multivariate data on testate amoebae to single lines
    - Observed/predicted values are compared through models; the outputs on a graph plot an environmental variable optima (based on ecological niches) for each testate amoebae species e.g. water table depth
    - Gives trend lines, can see relation to trends, R square value etc.
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